Systems, devices, and method for asynchronous training for classification of cellular subsets for flow cytometry. A training file is identified for training a classifier. A gate associated with the training file is received for training the classifier and a model for training the classifier is received. The classifier training begins and, concurrent with training of the classifier; flow cytometry files are classified and an accuracy of the classifier is monitored. A determination is made whether the gate should be adjusted based on the accuracy and a determination is made whether training of the classifier is complete.
A system for preparing microbial cultures includes a microtiter plate assembly including a plurality of openings, and a plurality of plugs sized and configured to be received within the plurality of openings on the microtiter plate. Each plug of the plurality of plugs has a handling portion. The system includes a liquid handler including a gantry system including a plug-handling system configured to temporarily attach to respective handling portions of the plurality of plugs, and a pipetting system configured to dispense or aspirate liquids through the plurality of openings on the microtiter plate assembly without contacting the microtiter plate assembly.
A biological imaging analyzer is described comprises a staining module configured to stain cells of a biological sample so as to produce stained cells. The analyzer also comprises a lighting module configured to illuminate the stained cells, the lighting module comprising a plurality of pulsed lights. The analyzer further comprises an imaging module configured to capture images of the stained cells. A method of flow imaging a biological sample comprises flowing the biological sample including the stained cells through an image capture region of a flowcell. The method also comprises utilizing the lighting module to illuminate the stained cells at the image capture region with the plurality of pulsed lights. The method further comprises capturing images of the stained cells at the image capture region with the imaging module.
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
Systems and methods for fluorescence sensitivity monitoring in a flow cytometer include measuring fluorescence of a sheath fluid to determine a sheath noise and setting a threshold detection value using the sheath noise. Fluorescence of a plurality of samples having predetermined fluorescence intensities at different wavelengths is measured, using the threshold detection value. Each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths is gated and, using the gating, a mean fluorescence intensity (MFI) is identified for each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths. One or more fluorescence channels of the flow cytometer are calibrated by calculating, for each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths, molecules of equivalent soluble fluorochrome (MESF) using the MFI and the sheath noise.
The disclosure pertains to a computer-implemented method of managing a software update of at least one laboratory instrument by a computing device communicatively couplable to the laboratory instrument, the method comprising: providing, by a computing device, a pause command receivable the at least one laboratory instrument, wherein the pause command is configured to, when processed by the laboratory instrument, cause and/or instruct the laboratory instrument to at least temporarily prevent installation of the software update on the laboratory instrument; providing, by the computing device, a resolution command to the at least one laboratory instrument, wherein the resolution command is configured to, when processed by the laboratory instrument, cause and/or instruct the laboratory instrument to allow installation of the software update, to replace the software update by an updated version, or to permanently prevent installation of the software update on the laboratory instrument.
The presently claimed and described technology provides methods for chemiluminescence-based assays for detecting p24 antigen in a biological sample employing 1,2 dioxetane compounds.
A microscope imaging system includes an objective (18) configured to collect light from a biological sample (S) for forming a magnified image of the biological sample. The microscope imaging system also includes a camera (14) including an imaging sensor. The imaging sensor is configured to detect the magnified image of the biological sample. The microscope imaging system further includes a tube lens (16) positioned between the objective and the camera. The tube lens is configured to project the magnified image of the biological sample onto the imaging sensor of the camera. The tube lens is spaced apart from the imaging sensor of the camera by a distance (D2) less than a focal length of the tube lens.
The presently claimed and described technology provides methods for chemiluminescence-based assays employing 1,2 dioxetane compounds. In some instances, the analyte is cardiac troponin I (TNI), Thyroid-stimulating Hormone (TSH), or procalcitonin (PCT). Methods disclosed herein comprise: exposing a biological sample to a capture antibody configured to bind to at least one portion of an analyte disclosed herein generating a first reaction mixture; exposing the first reaction mixture to an enzyme-conjugated affinity molecule, forming a second reaction mixture; exposing the second reaction mixture to a substrate formulation comprising a 1,2 dioxetane compound disclosed herein; wherein the reaction between the enzyme-conjugated affinity molecule and the substrate formulation generates a chemiluminescent detection signal; recording the detection signal generated by the reaction; and comparing the recorded signal to a calibration curve to quantify the level of the analyte in the biological sample.
C12Q 1/42 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving hydrolase involving phosphatase
C07F 9/655 - Heterocyclic compounds, e.g. containing phosphorus as a ring hetero atom having oxygen atoms, with or without sulfur, selenium, or tellurium atoms, as the only ring hetero atoms
C09K 11/07 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing organic luminescent materials having chemically-interreactive components, e.g. reactive chemiluminescent compositions
G01N 33/543 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals
G01N 33/58 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving labelled substances
The presently claimed and described technology provides methods for chemiluminescence-based assays for detecting phosphorylated tau (p-tau)217 in a biological sample employing 1,2 dioxetane compounds.
The presently claimed and described technology provides methods for chemiluminescence-based assays for detecting interferon-gamma (IFN-γ) in a biological sample employing a dioxetane compound.
A method of performing an immunoassay with an automated clinical analyzer, includes, mixing an analyte from a patient sample with a first reagent having a plurality of particles configured to specifically bind to the analyte and a second reagent having an enzyme, incubating the assay mixture for a predetermined amount of time and then performing a wash cycle on the assay mixture in order to retain the plurality of particles while removing the remaining portion of the assay mixture not bound the plurality of particles, and selecting a first substrate material or a second substrate material, each housing with the automated clinical analyzer. The method further includes obtaining the selected substrate material and adding the selected substrate material with the plurality of particles remaining from the wash cycle to create a signal generating mixture, incubating the signal generating mixture, and analyzing the signal generating mixture with a luminometer.
A method of performing an immunoassay with an automated clinical analyzer, includes, mixing an analyte from a patient sample with a first reagent having a plurality of particles configured to specifically bind to the analyte and a second reagent having an enzyme. The method further includes incubating the assay mixture for a predetermined amount of time and then performing a wash cycle on the assay mixture in order to retain the plurality of particles while removing the remaining portion of the assay mixture not bound the plurality of particles. The method further includes selecting a first substrate material or a second substrate material, each housing with the automated clinical analyzer. The method further includes obtaining the selected substrate material and adding the selected substrate material with the plurality of particles remaining from the wash cycle to create a signal generating mixture. The method further includes incubating the signal generating mixture and analyzing the signal generating mixture with a luminometer.
Systems and method for titration analysis to indicate a protein concentration present in an experimental sample. The titration analysis system includes a titration analysis instrument with a light source, a thermally controlled sample receptacle, and a light detector configured to detect light from the light source after the light has passed through the thermally controlled sample receptacle. A non-transitory memory stores a reusable titration curve and a processing circuit is configured to receive a signal from the light detector, determine a fluorescence polarization value based on the signal, retrieve the reusable titration curve from the non-transitory memory as a reference curve, and fit the fluorescence polarization value to the reusable titration curve to indicate the protein concentration present in the experimental sample.
The present disclosure relates to diagnosing and locating fluid leakage within a pneumatic system (5) using a minimal amount of pressure sensors (55, 75, 89). In general, each branch (51, 71, 85) of a pneumatic system (5) includes an associated pressure sensor (55, 75, 89) and in accordance with how the pneumatic components (57, 59, 61, 77, 91, 93, 95) associated with the pneumatic branch (51, 71, 85) are toggled and monitored, leaks can be detected and located within the branch (51, 71, 85) using a minimal amount of pressure sensors (55, 75, 89). More specifically, pressure and pressure decay may be measured by the sensors (55, 75, 89) within a branch (51, 71, 85) while the pneumatic components (57, 59, 61, 77, 91, 93, 95) are in a particular configuration. The configuration is thereafter changed, and pressure and pressure decay are again measured by the sensors (55, 75, 89). The results of these two measurements may enable the pneumatic system (5) to derive the presence and location of a leak.
F15B 19/00 - Testing fluid-pressure actuator systems or apparatus, so far as not provided for elsewhere
G01M 3/28 - Investigating fluid tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables, or tubesInvestigating fluid tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipe joints or sealsInvestigating fluid tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for valves
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
15.
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PROCESSING AND/OR TESTING OF A BIOLOGICAL SAMPLE
An aspect of the present invention relates to a computer-implemented method, the method comprising at least the steps of: obtaining, by a first computing device, sample location data, the sample location data comprising information indicative of a sample location of a biological sample; obtaining, by the first computing device, test data, the test data comprising information indicative of one or more clinical tests to be performed on the biological sample; selecting by evaluating laboratory data, by the first computing device, a processing laboratory from a first plurality of laboratories, wherein the processing laboratory is located at a processing laboratory location and the processing laboratory comprises one or more laboratory instruments, the one or more laboratory instruments being configured to carry out the one or more clinical tests to be performed on the biological sample; and instructing, by the first computing device, an agent to initiate a transfer of the biological sample from the sample location to the processing laboratory location. Further aspects of the present invention relate to another computer-implemented method, a computer program product and a system.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G06Q 10/063 - Operations research, analysis or management
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Downloadable computer software for use in cell analysis in connection with apparatus and instruments used for cell analysis and automated hematology analyzers; Recorded computer software for use in cell analysis in connection with apparatus and instruments used for cell analysis and automated hematology analyzers; Downloadable computer software for use in cell analysis for medical, scientific, laboratory, and general research uses; Recorded computer software for use in cell analysis for medical, scientific, laboratory, and general research uses; Recorded computer software for use in cell analysis for analyzing hematologic biomarkers; Downloadable computer software for use in predicting risk of infection and sepsis; Recorded computer software for use in predicting risk of infection and sepsis; Downloadable computer software for use in cell analysis for analyzing hematologic biomarkers Scientific laboratory services; Laboratory testing of materials; Blood analysis for scientific research purposes; Chemical analysis; Chemical analysis services; Performance of chemical analyses; Laboratory research in the field of infection and sepsis; Research laboratory analysis services in the field of infection and sepsis; Laboratory research in the field of cell analysis and hematological biomarkers; Research laboratory analysis services in the field of cell analysis and hematological biomarkers; Biochemical research and analysis; Biological research and analysis; Chemical research and analysis; Providing medical and scientific research information; Providing scientific information in the field of infection and sepsis; Providing scientific information in the field of cell analysis and hematological biomarkers; Providing scientific information in the field of infection and sepsis risk Medical services; Providing medical information; Medical screening; Medical assistance; Medical testing services; Medical testing for diagnostic or treatment purposes; Medical diagnostic services; Medical diagnostic testing, monitoring and reporting services; Providing medical information in the field of infection and sepsis risk; Providing health information; Providing medical information to healthcare providers in the form of reports in the field of infection and sepsis risk; Providing medical information to healthcare providers in the form of reports in the field of cell analysis and hematological biomarkers; Providing medical information in the field of cell analysis and hematological biomarkers
This disclosure describes methods of and systems for screening for sepsis or septic shock in a patient and methods of ruling out sepsis or septic shock in a patient using white blood cell count (WBC), a monocyte cell population parameter, or neutrophil-to-lymphocyte ratio (NLR), or a combination thereof, in the blood sample from the patient.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G01N 27/02 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
18.
SYSTEMS AND METHODS OF PROCESSING SAMPLES COMPRISING IMMATURE GRANULOCYTES
Samples comprising immature granulocytes may be processed via a method which comprises obtaining a plurality of representations based on, for each of a plurality of cells, obtaining a representation of that cell. Such a method may also comprise, for each cell in a set of cells from the plurality of cells, determining an immature granulocyte subtype corresponding to that cell. In this case, for each cell from the set of cells, the immature granulocyte subtype determined as corresponding to that cell may be selected from a plurality of immature granulocyte subtypes. Such a method may also include calculating an immature granulocyte index. Such an index may be calculated based on, for each subtype from the plurality of immature granulocyte subtypes, a subtype factor based on a number of cells identified as corresponding to that immature granulocyte subtype, and a weight for that immature granulocyte subtype.
Chemiluminescent compositions and systems having at least one donor chemiluminescent molecule, at least one energy acceptor molecule, and at least one host molecule accommodating at least two guest molecules such as the donor chemiluminescent and energy acceptor molecules are described. The two guest molecules are structurally spaced for resonance energy transfer between the donor chemiluminescent molecule and the energy acceptor molecule when accommodated in the host molecule. Methods of using the described chemiluminescent compositions and systems are also provided.
G01N 33/542 - ImmunoassayBiospecific binding assayMaterials therefor with immune complex formed in liquid phase with steric inhibition or signal modification, e.g. fluorescent quenching
G01N 33/58 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving labelled substances
The processing of a sample may be dynamically adjusted. This may be done via a method which comprises obtaining a first set of measurements from a first portion of a patient sample. Such a method may also include deriving blood cell data for at least one population of cells in the patient sample based on the first set of measurements. Additionally, such a method may include determining one or more sample optimization parameters for the patient sample based on the blood cell data for the at least one population of cells in the patient sample. Using those one or more sample optimization parameters determined for the patient sample, the method may then include processing a second portion of the patient sample. In such a case, processing the second portion of the patient sample may comprise obtaining a second set of measurements from the second portion of the patient sample. In such a method, at least one of obtaining the first set of measurements and obtaining the second set of measurements comprises imaging.
G01N 15/1031 - Investigating individual particles by measuring electrical or magnetic effects
G01N 15/12 - Investigating individual particles by measuring electrical or magnetic effects by observing changes in resistance or impedance across apertures when traversed by individual particles, e.g. by using the Coulter principle
G01N 15/1433 - Signal processing using image recognition
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
A patient sample may be processed via a method which comprises preparing first and second portions of the patient sample, capturing first and second pluralities of images, determining first and second counts of one or more types of particles, and generating an output corresponding to at least one of those types of particles based on the first and second counts for that type of particle.
An analyzer may have its operation validated using control samples which comprise synthetic particles. Such an analyzer be adapted to obtain a representation of a particle from a sample and obtain a classification of the particle which classifies the particle as a type specific to control samples. The analyzer may also be adapted to perform control specific processing on the sample, and to generate an analysis output for the sample based on a result of the control specific processing.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/1433 - Signal processing using image recognition
23.
BIOLOGICAL SAMPLE ANALYZER CALIBRATION AND CONTROL
According to embodiment, a system for assessing a biological analyzer includes: a flowcell; a projection region; a media source configured to project media onto the projection region, wherein the media includes a representation of at least one particle within the flowcell; an imaging device aligned with the projection region, wherein the imaging device is configured to capture at least one image of the representation of the at least one particle; and a processor configured to process the at least one image of the representation of the at least one particle to assess a function of the biological analyzer.
Systems and method for and automated laboratory instrument for measuring protein concentration and cell health of a biological sample. The automated laboratory instrument includes a housing containing a biological sample container for receiving at least one biological sample, a pipettor to aspirate and dispense the biological sample, a titer instrument to receive the biological sample and measure protein concentration of the biological sample, a cell health instrument to receive the biological sample and measure cell health of the biological sample and processing circuitry having a memory for storing instructions. When executed by the processing circuitry, the instructions cause the processing circuitry to aspirate the biological sample from the container into the pipettor, dispense the biological sample into the titer and cell health instruments, measure protein concentration in the biological sample with the titer instrument, and measure cell health in the biological sample with the cell health instrument.
It is possible to use a machine learning model to determine the minimum inhibitory concentration of an antimicrobial agent with respect to a microorganism across concentrations for a complete reporting range based on information gathered for only a subset of those concentrations. This may be done using a set of minimum inhibitory concentration reporting acts which comprises receiving a plurality of sets of test well evaluation values, determining a first set of machine learning inputs based on the plurality of sets of test well evaluation values, and determining the minimum inhibitory concentration based on providing the first set of machine learning inputs to the machine learning model. Corresponding systems comprising processers and non-transitory computer readable media having instructions operable to perform such methods when executed by the processor can also be implemented.
G16C 20/00 - Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
26.
METHOD, DEVICE AND SYSTEM FOR TESTING BIOLOGICAL SAMPLES IN CASE OF FAILURE DETECTION
Summarizing the invention, a method is provided. The method comprises determining, by a computing device, a failure of a laboratory instrument configured to carry out clinical tests on biological samples; accessing, by the computing device, test data comprising information specifying: a plurality of clinical tests that were carried out by the laboratory instrument and that may have been affected by the failure of the laboratory instrument, a chronological sequence of the plurality of clinical tests, and a respective plurality of test results associated with the plurality of clinical tests; identifying, by the computing device, a reference clinical test among the plurality of clinical tests, the reference clinical test being a clinical test that has not been affected by the failure of the laboratory instrument; determining, by the computing device, a proper subset of clinical tests of the plurality of clinical tests based on the reference clinical test; causing, by the computing device, the proper subset of clinical tests to be rerun.
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
Improved methods of analyzing a biological sample to determine a target analyte concentration that is corrected for interference are provided. Methods provided herein comprise analyzing a biological sample with one or more assays and applying the data to determine a corrected concentration of a target analyte. Also provided herein are clinical chemistry instruments comprising one or more assay systems, a processor configured to receive data from the one or more assay systems and determine a final concentration of a target analyte that is corrected for interference.
A pipetting system includes a syringe assembly and a probe assembly. The syringe assembly includes a pipetting air chamber that extends about a pipetting axis. The syringe assembly includes a plunger that is configured to travel between an extended state and a retracted state within the pipetting air chamber. The syringe assembly includes a pipette tip receiving region that is configured to receive a pipette tip. The probe assembly includes a probe drive housing that is configured to control movement of the probe assembly about the pipetting axis. The probe assembly includes a plunger attachment structure that is configured to control movement of the plunger about the pipetting axis. The syringe assembly is removably attached to the probe assembly such that the syringe assembly may be removed from the probe assembly without removing the probe assembly from the pipetting system.
A peristaltic pump comprising: a fixed frame (120), a rotatable member (130), a plurality of rollers (135) uniformly arranged on the rotatable member in a circumferential direction, a movable frame (140) mounted on the fixed frame, a force exerting assembly (160) configured to pinch a fluid pipe (150) between the movable frame and the plurality of rollers by applying a force to the movable frame, and a motor (170) for rotating the rotatable member. The motor (170) is configured, whenever a command to stop the rotatable member is received, firstly, continue rotating the rotatable member (130) until it reaches a position from a set of positions, wherein, for each position from the set of positions, the fluid pipe (150) is in contact with rollers (135) from the plurality of rollers only at a set of locations which is the same for each position from the set of positions, and secondly, maintain the rotatable member in the position from the set of positions until a command is received to restart rotation of the rotatable member (130) on the fixed frame (120).
A light detecting system and a light detecting method for a flow cytometer are provided. The light detecting system includes a beam separating device and multiple wavelength division multiplexing devices. The beam separating device is configured to separate a beam to be processed by the flow cytometer into multiple first beams having respective wavelength ranges that either do not overlap with each other or partially overlap with each other. Each of the multiple wavelength division multiplexing devices is configured to receive a respective one of the multiple first beams. The multiple first beams are parallel to each other when received by the multiple wavelength division multiplexing devices. Each of the multiple wavelength division multiplexing devices includes multiple light detecting devices being configured to detect a portion of the respective first beam.
Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
G01N 31/00 - Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroupsApparatus specially adapted for such methods
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
A method of use with a capacitance based detector, includes aspirating a predetermined volume of liquid from a container into a probe associated with the detector. The method further includes collecting an electric detection signal of the detector. The method also includes determining a property of the liquid other than a level of the liquid in the container based on the collected electric detection signal.
G01N 35/10 - Devices for transferring samples to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
G01F 23/263 - Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water by measuring variations of capacity or inductance of capacitors or inductors arising from the presence of liquid or fluent solid material in the electric or electromagnetic fields by measuring variations in capacitance of capacitors
A system uses a large language model (LLM) to implement a controlled artificial intelligence chat environment. The system may control interaction with the LLM using prompt templates that may be selected, customized, and/or modified based on information known about the user with whom the LLM will be interacting. Further, the system may evaluate output of the LLM to make changes to the LLM, the prompt templates, and so on. In some implementations, the system may use evaluation training data to adapt and fine-tune the LLM and/or another language model to evaluate output of the LLM in order to evaluate the efficacy of the chronic condition and/or disease management coaching path(s), and make improvements to the online or offline implementation of the language model in the future.
G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
A method of characterizing particles by flow cytometry includes determining a first median scatter intensity of a first particle population. The first median scatter intensity is based on light scatter collected by a first detector. The method includes determining a second median scatter intensity of the first particle population. The second median scatter intensity is based on light scatter collected by a second detector. The method includes determining a ratio of the second median scatter intensity relative to the first median scatter intensity. The method includes extending a dynamic range of the first detector by multiplying the ratio by a median scatter intensity of a second particle population. The median scatter intensity of the second particle population is based on the light scatter collected by the second detector.
A system and method for recognizing one or more particle types in a sample using flow cytometry. A set of waveform data is obtained, the waveform data generated by interrogation of the sample to produce light signals from a plurality of particles within the sample, the plurality of particles including one or more particle types. The set of waveform data is segmented into a plurality of constituent particle waveforms. The constituent particle waveforms are submitted to a model and, using the model, a particle type of the one or more particle types is identified for the constituent particle waveforms.
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
36.
HIGH-THROUGHPUT IMMUNOASSAY METHODS FOR ASSESSING THE STAGES OF OVARIAN AGING
The presently claimed and described technology provides methods for detecting Anti-Mullerian Hormone (AMH) in a plasma sample using a high-throughput immunoassay analyzer.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
09 - Scientific and electric apparatus and instruments
Goods & Services
Centrifuges, centrifuge rotors, centrifuge motors, centrifuge tubes, microwell trays and plates; all the aforementioned for clinical, chemical and laboratory use.
A computer implemented method, a computing device, a laboratory instrument, a computer program product and a computer readable storage medium for selectively de-identifying protected health information (PHI) are provided. The method comprises accessing a first data file, the first data file comprising at least a first data item, wherein the first data item comprises PHI and first PHI category information, wherein the first PHI category information is indicative of a first PHI category of a plurality of PHI categories, the PHI in the first data item belonging to the first PHI category. The method further comprises accessing the first PHI category information. The method further comprises assessing, based on the first PHI category information, whether the PHI in the first data item is to be de-identified or not. If the PHI in the first data item is to be de-identified, the method further comprises generating a second data item by modifying the first data item such that the protected health information is de-identified.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
41.
COMPUTER-IMPLEMENTED METHODS AND ASSESSING FOR THE PRESENCE OF AN ANOMALY IN A LABORATORY INSTRUMENT
An aspect of the present invention relates to a computer-implemented method comprising the steps of: obtaining, from or by a first computing device, log data, the log data comprising a first plurality of log data items; and obtaining anomaly data, the anomaly data comprising information indicative of the presence of an anomaly in a laboratory instrument, wherein the first computing device is configured to access a log file of the laboratory instrument, the log file comprising a first plurality of log file entries, each log file entry of the first plurality of log file entries comprising a plurality of fields, and to construct the log data, by, for each log data item of the first plurality of log data items: selecting first field-data of a first field of a respective log file entry, the first field of the respective log file entry specifying a respective event which has occurred in the laboratory instrument; selecting second field-data of a second field of the respective log file entry, the second field of the respective log file entry further describing the respective event occurred in the laboratory instrument, wherein the selecting of the respective second field is based on the first field-data of the respective first field of the respective log file entry; and constructing said each log data item by using the first field-data of the first field of the respective log file entry and the second field-data of the second field of the respective log file entry. Additional aspects of the present invention relate to further computer-implemented methods, a data processing system, a laboratory instrument, an automated laboratory system, a computer program product, and a computer-readable medium.
05 - Pharmaceutical, veterinary and sanitary products
Goods & Services
Diagnostic reagents for medical use; Reagents for medical use; Diagnostic agents, preparations and substances for medical purposes; Diagnostic test reagents for medical use; In vitro diagnostic preparations for medical purposes; Chemical preparations for pharmaceutical or medical purposes, namely, for use in HIV and immuno-monitoring testing.
46.
METHODS OF INSTALLATION AND SERVICE OF A MODULE IN A LABORATORY WORKSTATION
A method of installing a module associated with a life sciences laboratory workstation includes positioning at least a portion of at least one rail to extend outside the laboratory workstation; disposing the module on the at least one rail at a first position that is at least partially outside of the laboratory workstation; moving the module from the first position to a second position within the laboratory workstation via the at least one rail positioned within the laboratory workstation; transferring the module from the at least one rail to an actuator platform located within the laboratory workstation; and causing the actuator platform to position the module at a predetermined position within the laboratory workstation.
A method of characterizing particles in flow cytometry includes determining a first pulse width value of a particle using a first technique. The method includes determining a second pulse width value of the particle using a second technique. The method further includes comparing the first and second pulse width values, and characterizing the particle as a concatenated particle when a difference between the first and second pulse width values exceeds a threshold.
Aspects relate to a computer implemented method, a computer program, a computer readable medium, a data processing system and a laboratory instrument. The computer-implemented method comprises obtaining a first image depicting at least a portion of a container and determining, using a first machine learning model, the first image and a first rejection algorithm, whether the container depicted in the first image belongs to one container category of a plurality of container categories or the container depicted in the first image does not belong to any container category of the plurality of container categories. The first rejection algorithm uses an output of a hidden layer of the first machine learning model. The first machine learning model is trained to classify containers in the plurality of container categories using training images of containers. Each of the training images of the containers corresponds to exactly one container category of the plurality of container categories.
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Aspects relate to a computer implemented method, a computer program, a computer readable medium, a data processing system and a laboratory instrument. The computer-implemented method comprises obtaining a first image depicting at least a portion of a laboratory container; generating, using a first machine learning model and the first image, vector data; and determining, using the vector data and a similarity metric, whether the laboratory container depicted in the first image belongs to one laboratory container category of a plurality of laboratory container categories or the laboratory container depicted in the first image does not belong to any laboratory container category of the plurality of laboratory container categories by means of a first rejection algorithm.
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
50.
AN AUTOMATED AND HIGH-TROUGHPUT ANALYZER METHOD FOR A PHOSPHORYLATED TAU (P-TAU) 217 IMMUNOASSAY
The presently claimed and described technology provides methods for detecting phosphorylated tau (p-tau)217 in a biological sample using an immunoassay analyzer.
05 - Pharmaceutical, veterinary and sanitary products
Goods & Services
Diagnostic reagents for medical use; Reagents for medical use; Diagnostic agents, preparations and substances for medical purposes; Diagnostic test reagents for medical use; In vitro diagnostic preparations for medical purposes; Chemical preparations for pharmaceutical or medical purposes, namely, for use in HIV and immuno-monitoring testing
52.
UNIVERSAL FIXING PART FOR THE PLUNGER ROD OF A SYRINGE PUMP ASSEMBLY
A rod fixing assembly capable of attaching a rod of a syringe to a frame of a syringe pump, the rod fixing assembly including a first body associated with the frame, a complementary tilting surface fixed relative to the first body, a locking body coupled to the first body, and a rod interface housed within the first body. The locking body being capable of selectively affixing the rod of the syringe to the rod interface. The rod interface includes a tiling surface engaged with the complementary tiling surface. The tilting surface being capable of sliding relative to the complementary tilting surface while the rod interface is affixed to the rod in order to tilt the rod relative to the first body.
The present disclosure relates to a method for analyzing particles within a flow cytometry system using a computing device. The method includes receiving flow cytometry data from the flow cytometry system; assigning a probability value to the at least one event, the probability value indicating a probability that the at least one event is within a defined threshold rule to categorize an event as belonging to a cluster; displaying the probability value to the user; allowing the adjustment of the probabilistic threshold by the user; and generating an output. The output is generated by comparing the probability value to the probabilistic threshold, identifying at least one inclusive event when the probability value meets the probabilistic threshold, and displaying the at least one inclusive event to the user.
A label-free method of characterizing particles by flow cytometry. The method includes illuminating the particles with at least a first excitation light beam of a first wavelength and a second excitation light beam of a second wavelength. The method includes collecting from at least a first detector side scattered light of the first wavelength and collecting from a second detector side scattered light of the second wavelength. The method includes determining particle sizes based on the first median side scatter light intensities under the first wavelength and second median side scatter light intensities under the second wavelength.
A detection system and a sample processing instrument for nanoparticles are provided. The detection system includes a light emitting unit and a light collection unit. The light emitting unit is configured to emit a light beam and project the light beam onto a nanoparticle to be detected. The light collection unit is configured to collect light beams from the nanoparticle so as to analyze the nanoparticles according to the collected light beams. The light emitting unit includes multiple light sources and a focusing lens, and the light beams emitted by the multiple light sources are focused through the focusing lens on a same detection position through which the nanoparticle is to pass.
A system for dispensing a set of density gradients. The system calculates a dispense queue including volumes of gradient materials for dispensing the set of density gradients. The set of density gradients including at least a first density gradient and a second density gradient for dispensing into at least a first container and a second container, respectively. The system dispenses the first density gradient into the first container by dispensing one or more sections composed of mixtures of the gradient materials through a probe positioned to have a distal end at a bottom of the first container. The system purges the probe by displacing a mixture of gradient materials used for dispensing a last section of the first density gradient with a material included in the dispense queue before the dispense of the first density gradient is completed.
A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
58.
FLOW CYTOMETER BEAD DETECTION AND SPILLOVER MATRIX
A system and method for preparing a spillover matrix for a flow cytometry experiment. One or more fluorochrome beads are combined with a sample of biological particles, each of the one or more fluorochrome beads including a discrete fluorochrome. A fluid stream of the combined fluorochrome beads and biological particles is directed through an interrogation location. Light is directed by a laser toward the interrogation location to produce light signals from the combined beads and biological particles. The light signals are converted to waveform data via one or more detectors, and an event is identified from the waveform data associated with the one or more fluorochrome beads. Values associated with the event are measured, and the spillover matrix is generated based on the values.
One embodiment of the invention is directed to a method comprising receiving instruction data relating to a sample in a sample container. The method includes generating, by at least one processor using a workflow management layer, a process plan for the sample, and providing the process plan to a process control layer. The process plan comprises a plurality of possible routes. The method also comprises selecting, by the at least one processor using the process control layer, an optimized route within the plurality of possible routes in the process plan, and providing the optimized route to a middleware control layer. The at least one processor and middleware control layer are operable to cause a transport system to proceed along the selected route.
A method of performing a flow cytometry experiment includes determining a volume of sample held in a container prior to streaming the sample through an interrogation location. The method includes monitoring the volume of the sample held in the container while running the flow cytometry experiment. The method includes determining whether the volume of the sample held in the container satisfies a threshold volume for performing the flow cytometry experiment, and generating an alert when the volume of the sample held in the container does not satisfy the threshold volume for performing the flow cytometry experiment.
Aspects relate to a method, a data processing system, a laboratory instrument, a computer program and a computer-readable medium. The method comprises obtaining, by a computing device, a relational result for a first clinical test. The first clinical test is carried out on a biological sample by a first laboratory instrument, the biological sample being in a sample container. The relational result comprises first information and second information, the first information specifying that a laboratory result for the first clinical test is outside a reliability range for the first clinical test carried out by the first laboratory instrument and the second information specifying one or more of an upper bound and a lower bound of the reliability range. The method further comprises assessing, by the computing device, whether a condition of a laboratory rule is determinable by using the first information and the second information. The laboratory rule specifies one or more actions that are to be taken depending on the outcome of a determination of the condition. At least one action of the one or more actions is to be taken on one or more of the biological sample, the sample container and the relational result and/or the one or more actions comprise displaying information about one or more of the biological sample, the sample container, the relational result and a patient. If the condition is determinable and, according to the outcome of the determination of the condition, the one or more actions are to be taken, the method comprises causing, by the computing device, the one or more actions to be taken.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
62.
DETERMINING PARAMETER VALUES IN A BIOLOGICAL ANALYZER
Mean corpuscular parameter values for a sample, such as a mean corpuscular hemoglobin or mean corpuscular volume for the red blood cells in a sample, can be calculated based on individual cell corpuscular parameter values for the red blood cells in the sample. These values may be obtained using a machine learning algorithm. Such a machine learning algorithm may be trained using sets of training images annotated with transducer derived mean corpuscular parameter values, thereby allowing a flow imaging based analyzer to provide parameter values which may otherwise not be available with that type of analysis tool.
The present disclosure relates to systems and methods for analyzing particles within a flow cytometry system. A method for analyzing particles within a whole blood sample includes receiving a whole blood sample. Furthermore, the method includes receiving a panel selection relating to one or more constituents within the whole blood sample, wherein the one or more constituents include one or more desired constituents. Furthermore, the method includes adding at least one labeling reagent to the whole blood sample, wherein the at least one labeling reagent is configured to label the one or more desired constituents. Further yet, the method includes collecting flow cytometry data from the whole blood sample and analyzing the one or more constituents.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
05 - Pharmaceutical, veterinary and sanitary products
Goods & Services
Reagents for medical purposes; Diagnostic reagents for medical use; Diagnostic kit comprised of reagents for medical use; Reagents for use in flow cytometry, for medical purposes; Reagents for preparing and enumerating white blood cells in leukocyte-reduced red blood cells and platelets, for medical purposes.
65.
DIHYDROPHENANTHRENE (DHP) BRIDGED DYES FOR USE IN FLOW CYTOMETRY
The present disclosure provides novel dihydrophenanthrene (DHP) bridged small molecule fluorescent dye compounds. The DHP bridged dye compounds can be excited and/or exhibit emission in UV, violet, blue, yellow, green, red, and near infrared (NIR) wavelengths. Tandem dyes and kits comprising the DHP bridged compounds, are also provided. The dye compounds and tandem dyes may be conjugated to antibodies for detection of target analytes in biological samples and are suitable for use in flow cytometry and other analyses. An exemplary compound has formula 20 below: (I).
Cell analysis methods may include, and cell analysis systems may be configured to support, flowing blood cells from a sample through a flow cell, capturing images of the cells as they flow through the flow cell, and then processing them based on execution of instructions stored on a non- transitory computer readable medium. This processing may include determining a plurality of cell paramctcr values for each cell image, and, for each of the cell images, determining a morphology score for that image based on that image's plurality of cell parameter values.
In some embodiments, a process and system are provided for generating a user interface for classification of a sample image of a cell that includes receiving a sample image of a sample particle from a biological sample and selecting reference images that each portray a reference particle of a biological sample. The reference images can be ordered based on similarity and the reference images can be selected based on the order. The first selected reference image can be aligned with the sample image and expanded such that the adjacent edges of the reference image and sample image are the same. The expanded image can be dynamically filled. The sample image and the expanded reference image can be displayed in a user interface.
G01N 33/96 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving blood or serum control standard
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
G06F 16/50 - Information retrievalDatabase structures thereforFile system structures therefor of still image data
G06F 18/22 - Matching criteria, e.g. proximity measures
G06F 18/40 - Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
68.
METHODS AND DEVICES FOR PROCESSING BIOLOGICAL SAMPLES IN A LABORATORY AUTOMATION SYSTEM
Summarising the invention, a computer-implemented method is provided. The method comprises obtaining a first route plan as processing route plan for processing a sample container within an automated laboratory system, wherein: the sample container contains a biological sample on which a first clinical test is to be carried out; the automated laboratory system comprises a first laboratory instrument configured to carry out the first clinical test; determining that the first laboratory instrument is unavailable to carry out the first clinical test; determining that processing of the sample container according to the first route plan is affected by the unavailability of the first laboratory instrument; once a predetermined waiting time period has elapsed, checking whether the first laboratory instrument is still unavailable to carry out the first clinical test; if the first laboratory instrument is still unavailable to carry out the first clinical test, obtaining a second route plan different from the first route plan and setting the second route plan as the processing route plan.
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
69.
LABORATORY AUTOMATION SYSTEM PROCESSING OF FOLLOW UP TESTS
A laboratory automation system may perform tests on a biological sample. This may include performing a first test on a first testing portion contained in a first container. After the first test has been performed, the laboratory automation system may obtain an order to perform a follow up test, and may then make a container determination comprising determining a container from which a second testing portion should be extracted. Following this container determination, the follow up test may be performed on the second testing portion.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
70.
USING TRAINED MACHINE LEARNING MODELS TO DETERMINE ALIGNMENT CHARACTERISTICS
Computer implemented methods for flow cell analysis may include, and cell analysis systems may be configured to support, flowing blood cells from a sample through a flow cell, capturing images of the cells as they flow through the flow cell, and then determining an alignment characteristic score based on the plurality of cell images using a trained machine learning model.
According to various aspects of the instant disclosure, a rapidly-sedimenting magnetic particle can include a core or inner layer. The core or inner layer can include a ferrimagnetic material and have at least one of a maximum field strength ranging from about 20 emu/g to about 250 emu/g, and a remanence ranging from about 0 cmu/g to about 20 emu/g. The rapidly-sedimenting magnetic particle can further include a coating layer overlaying at least a portion of the core or inner layer. The particle can further include an outer coating layer overlaying at least a portion of the core coating.
A system for analyzing particles includes a flow chamber that streams the particles through an interrogation zone. A light emitting unit generates an excitation light beam directed toward the interrogation zone causing forward scattered light from the particles passing through the interrogation zone. A collection unit collects the forward scattered light, and includes a beam splitter conveying a first portion of the forward scattered light in a first direction and a second portion of the forward scattered light in a second direction, a first detector detecting the first portion of the forward scattered light, and a second detector detecting the second portion of the forward scattered light. The system generates waveforms from the second portion of the forward scattered light, determines one or more parameters from the waveforms, and discriminates the particles based on at least one of shape and morphology using the one or more parameters.
The disclosed flow cytometer includes a wavelength division multiplexer (WDM). The WDM includes an extended light source providing light that forms an object, a collimating optical element that captures light from the extended light source and projects a magnified image of the object as a first light beam, and a first focusing optical element configured to focus the first light beam to a size smaller than the object of the extended light source to a first semiconductor detector. The disclosed flow cytometer further includes a composite microscope objective to direct light emitted by a particle in a flow channel in a viewing zone of the composite microscope to the extended light source, a fluidic system and a peristaltic pump configured to supply liquid sheath and liquid sample to the flow channel, and a laser diode system to illuminate the particle in the flow channel.
G02B 6/293 - Optical coupling means having data bus means, i.e. plural waveguides interconnected and providing an inherently bidirectional system by mixing and splitting signals with wavelength selective means
The present disclosure provides a computing device (100) for classification of an aspirating/dispensing operation in an automated analyzer (50). The computing device (100) comprises a memory (22) storing a neural network model (24). The neural network model 24 sequentially comprises a plurality of convolution blocks (202-1, 202-2 . . . 202-N). The computing device (100) further comprises a processor (20) communicably coupled to the memory (22) and at least one measurement sensor (106) associated with a pipetting probe (104) of a pipetting device (102). The processor (20) is capable of executing the neural network model (24). The processor (20) is further capable of executing instructions (26) to classify the aspirating/dispensing operation into at least one correct class or at least one incorrect class.
A tube from a plurality of tubes from a tube rack configured to removably hold the plurality of tubes are removed from a tube rack. A weight of the tube which has been removed from the tube rack is determined. A balancing parameter of the tube is determined by a computing device. An estimated balancing parameter of each of a plurality of remaining tubes from the plurality of tubes in the tube rack is determined. A corresponding rotor position from a plurality of rotor positions within the rotor for the tube is determined by the computing device based at least on the balancing parameter of the tube, the balancing parameters of previously placed tubes from the plurality of tubes placed within the rotor and the estimated balancing parameter of each of the plurality of remaining tubes. The transport unit places the tube in the corresponding rotor position within the rotor.
The probe washstation assembly includes a unitary housing with a first at least one well fluidically connected to a first channel extending through the first at least one well at an inlet region of the housing, a second at least one well fluidically connected to a second channel extending through the second at least one well at the inlet region of the housing, a first inlet fluidically connected to the first channel, a second inlet fluidically connected to the second channel, and a waste pathway configured to direct waste fluid from the first and second at least one well to an outlet. The first and second channels are spaced apart from one another.
The disclosed flow cytometer includes a wavelength division multiplexer (WDM). The WDM includes an extended light source providing light that forms an object, a collimating optical element that captures light from the extended light source and projects a magnified image of the object as a first light beam, and a first focusing optical element configured to focus the first light beam to a size smaller than the object of the extended light source to a first semiconductor detector. The disclosed flow cytometer further includes a composite microscope objective to direct light emitted by a particle in a flow channel in a viewing zone of the composite microscope to the extended light source, a fluidic system and a peristaltic pump configured to supply liquid sheath and liquid sample to the flow channel, and a laser diode system to illuminate the particle in the flow channel.
G02B 6/293 - Optical coupling means having data bus means, i.e. plural waveguides interconnected and providing an inherently bidirectional system by mixing and splitting signals with wavelength selective means
Aspects relate to a laboratory automation system, a computer-implemented method, and a computer program for processing sample containers. The laboratory automation system comprises a storage unit configured to receive and store sample containers. The laboratory automation system further comprises at least one laboratory instrument configured to process samples contained in the sample containers. The laboratory automation system further comprises a conveying unit configured to convey sample containers between the storage unit and the laboratory instrument. The storage unit comprises a pick-and-place unit, a working section, a storing section, and a transfer unit. The working section is configured such that a plurality of sample containers may be arranged therein to be accessible by the pick-and-place unit. The pick-and-place unit is configured to pick up a sample container in the working section and to place said sample container on the conveying unit. The storing section is configured such that a plurality of sample containers may be arranged therein by a user, and the transfer unit is configured to transfer the sample containers between the working section and the storing section.
G01N 35/02 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor using a plurality of sample containers moved by a conveyor system past one or more treatment or analysis stations
A novel dry down buffer is provided for use in drying a plurality of fluorescent dye conjugates on a substrate for use in flow cytometry. The aqueous buffer comprises a water-soluble monomer; a protein stabilizer; a carbohydrate stabilizer; and a zwitterionic surfactant. When mixed with a multi-color panel comprising fluorescent polymer dye conjugates, dried on a substrate, and reconstituted with a biological sample, the buffer provides decreased aggregation of fluorescent polymer dye conjugates, and decreased non-specific binding of monocytes and granulocytes, when compared to use of a buffer without the water-soluble monomer or zwitterionic surfactant.
In a method for controlling a centrifuge (100) comprising a rotor (106) and a drive component (104) for the rotor (106), an acoustic signal (AS) is received, at a computing device (102), via a sound transducer (108) located proximate to the rotor (106) of the centrifuge (100). The acoustic signal (AS) is pre-processed, by the computing device (102), by emphasizing at least one predetermined signal feature of the acoustic signal (AS), the signal feature indicating an abnormal operation of the centrifuge (100). An abnormal operation of the centrifuge (100) is detected, by the computing device (102), by processing the emphasized signal feature. An alarm signal and/or a termination signal (212) is generated, by the computing device (102), if an abnormal operation of the centrifuge (100) is detected.
A sample carrier (1) is configured to transport a sample along a track (120) of a sample transport system (100). The sample carrier (1) comprises a sample transport section (10) configured to hold and transport the sample, a conductive section (20), and a magnetic section (30). The magnetic section (30) is configured to induce an eddy current in an adjacent conductive section (20) of another element of the sample transport system (100) when there is a relative movement between the sample carrier (1) and this other element. The conductive section (20) is configured to experience eddy current induced by a magnetic section (30) of another element of the sample transport system (100) when there is a relative movement between the sample carrier (1) and this other element.
A sample analysis system analyzes a sample. A panel design generates a sample preparation specification. A preparation instrument prepares a sample using the sample preparation specification to generate a prepared sample. A sample analyzer analyzes the prepared sample. A validator validates an operation of the sample analysis system. A sample analysis system has a transfer station that controls the movement of a probe with respect to a reaction plate. A probe wash module is also disclosed.
A system for acquiring the image data of refrigerated materials is disclosed. The system includes a material management unit with an imaging system. The material management unit further includes a refrigerated chamber in which material vials are stored. The imaging system includes a window positioned on the side of the material management unit that separates an interior space of the refrigerated chamber from an exterior space of the material management unit. The imaging system further includes a camera positioned in the exterior space that captures image data through the window. The window is heated along its sides by a heating element, which functions to prevent condensation from forming on the surface of the window.
G01N 35/02 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor using a plurality of sample containers moved by a conveyor system past one or more treatment or analysis stations
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
84.
ANTIBODY CONCENTRATION MEASUREMENT, TITER MODULE, AND LIQUID STORAGE MODULE FOR CELL ANALYSIS SYSTEM
A system for measuring a concentration of an antibody in a sample includes a polarizer holder retaining first and second detection polarizers. The first detection polarizer restricting passage of light fluoresced from within a container to a first direction. The second detection polarizer restricting passage of light fluoresced from within the container to a second direction. The second direction is perpendicular to the first direction. The system includes a detector for measuring the light fluoresced in the first direction and the light fluoresced in the second direction. The system rotates the polarizer holder about an axis of rotation in alternating directions causing alternate placement of the first and second detection polarizers in an optical path of the light fluoresced from within the container.
The present disclosure provides systems, methods, and kits to directly calibrate fluorescence sensitivity in a flow cytometer using lipid enveloped droplets comprising first, second, and third known concentrations of analytes encapsulated in lipid enveloped droplets, and wherein the analytes have a fluorescent dye. In embodiments, the analytes encapsulated in lipid enveloped droplets comprise a fluorescent dye, a fluorescent dye conjugated to deoxyribonucleic acid (DNA), ribonucleic acid (RNA), a hydrophilic partner that can prevent the analyte from crossing the lipid envelop of the droplet, protein, antibody, antibody fragment, nanobody, or a combination thereof.
A sorting flow cytometer receives a current alignment of a light beam, determines a difference between the current alignment of the light beam and a target alignment of the light beam, and calculates one or more voltage values based on the difference between the current alignment and the target alignment. The sorting flow cytometer uses the voltage values to adjust a position of at least one of a first alignment actuator extending in a first axial direction and a second alignment actuator extending in a axial second direction to reduce the difference between the current alignment of the light beam and the target alignment of the light beam.
Embodiments of the present invention encompass systems and methods for determining detection limits for various antibody-dye conjugates for flow cytometry. Exemplary techniques involve a linear superpositioning approach of spillover-induced enlargements of normally distributed measurement errors.
G01N 21/25 - ColourSpectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
An integrated sample processing system including an analyzer and a mass spectrometer is disclosed. The integrated sample processing system can perform multiple different types of detection, thereby providing improved flexibility and better accuracy in processing samples. The detection systems in the sample processing system may include an optical detection system and a mass spectrometer.
Described herein are systems, devices, and methods allowing for a subset of images to be used to establish a population count for biological material (e.g., blood cells).
Disclosed are systems and methods for detecting a malfunction in an automated analyzer. The systems and methods may include receiving a signal from a sensor (116), such as a Hall effect sensor located proximate a coil (104) of a solenoid valve (100). The signal from the sensor may be correlated to a magnetic flux or change in the magnetic flux generated as a plunger (102) of the solenoid valve is drawn into the coil when the coil is energized. Deviations in the signal from a reference may indicated a malfunction of the solenoid valve. Upon detecting a malfunction, a pre-failure status may be determined.
F16K 37/00 - Special means in or on valves or other cut-off apparatus for indicating or recording operation thereof, or for enabling an alarm to be given
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
Errors in an analyzer fluidics system may be detected using systems and methods which involve obtaining a plurality of pressure measurements while a vacuum is being applied to a tube used to remove fluid from a container. These measurements may then be provided to a classification module, and the classification module may determine a status output as either a normal status output, or one of a set of error status outputs.
01 - Chemical and biological materials for industrial, scientific and agricultural use
05 - Pharmaceutical, veterinary and sanitary products
09 - Scientific and electric apparatus and instruments
10 - Medical apparatus and instruments
35 - Advertising and business services
37 - Construction and mining; installation and repair services
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Chemical preparations and reagents, for scientific and
research use; reagents, assays, and chemical preparations
all for scientific, research, and laboratory purposes and
analysis; chemical preparations for scientific purposes,
other than for medical or veterinary purposes; chemical
reagents, other than for medical or veterinary purposes;
chemical substances for analyses in laboratories, other than
for medical or veterinary purposes; reagents for use in
genetic research; genomic reagents, for scientific and
research use; flow cytometry reagents, for scientific and
research use; reagents and chemical preparations used for
the identification and characterization of cells, for
scientific and research use; reagents for use in particle
size analysis and characterization, for scientific and
research use; panels of reagents, for scientific and
research use; laser excitable dyes, for scientific and
research use; fixable viability dyes, for scientific and
research use; dyes and stains for the identification and
characterization of cells, for scientific and research use;
chemical reagents containing magnetic beads for the
isolation, purification, and extraction of DNA and RNA, for
scientific and research use; nucleic acid isolation and
purification kits consisting primarily of reagents and
magnetic beads, for scientific and research use; lysing
reagents, for scientific and research use; chemiluminescent
reagents, for scientific and research use. Chemical preparations and reagents, for medical diagnostic
purposes; reagents and chemical preparations, for medical
diagnostic purposes; panels of reagents, for medical
purposes; medical assays for testing of body fluids;
chemicals and reagents for in vitro medical diagnostic use;
reagents, assays, and chemical preparations for testing of
biological specimens, for medical diagnostic purposes;
reagents for use in flow cytometry, for medical purposes;
lysing reagents, for medical purposes; biological tissue,
namely, animal cells, tissues, and blood, for medical
purposes; medical diagnostic reagents and solutions, namely,
diluents; antibiotics in test containers, canisters, panels
and microtitre plates, for medical use; chemiluminescent
reagents, for medical use. Analytical apparatus and instruments for analyzing
biological samples and bodily fluids, for laboratory use and
replacement parts and fittings therefor and downloadable and
recorded operating system software sold therewith;
laboratory apparatus and instruments for analyzing
biological samples and bodily fluids, for scientific or
research purposes and downloadable and recorded operating
system software for use in connection with the apparatus and
instruments; downloadable and recorded software for use in
operating, monitoring, and controlling laboratory and
diagnostic apparatus and instruments and analyzing data
generated by the apparatus and instruments; laboratory
instruments for the analysis of biological samples and
bodily fluids, for scientific and research purposes;
laboratory robots; laboratory sample preparation instruments
for scientific purposes; automated sample handling
equipment, for scientific and research use; automated liquid
handling instruments, for scientific and research use;
bioreactors for laboratory use; automated laboratory
equipment for cell culturing, namely, bioreactors and cell
culture plates; air particle counters; multi-parameter
biological cell sorter instruments, for scientific and
research use; laboratory centrifuges; centrifuge rotors
being parts of laboratory centrifuges; flow cytometers for
scientific, laboratory, and general research uses; total
organic carbon analyzers, for scientific and research
purposes; instruments for particle sizing, counting, and
analysis; microparticle processor apparatus and instruments,
for scientific and research purposes; laboratory apparatus
and instruments for nucleic acid cleanup and purification;
laboratory equipment for scientific purposes, namely, cell
analyzers; computer hardware and downloadable and recorded
computer operating software for use with laboratory and
diagnostic instruments, namely, for use in providing
automation of laboratory processes, control and monitoring
of laboratory instruments, instrument operation, sample
management, connectivity, data analysis, and data
management; downloadable and recorded software for technical
support and advice, troubleshooting, diagnosis, repair, and
maintenance of laboratory equipment and diagnostic
instruments; recorded and downloadable software for use with
laboratory instruments, namely, for use in monitoring and
controlling the operation of the instrument, setting up
experiment protocols, sample management, data collection,
data management, and data analysis; recorded and
downloadable software for collecting, managing, storing,
analyzing, and reporting biological information, and for
managing projects, laboratory workflows, and data, for use
for scientific, diagnostic, and research purposes; computer
system comprised primarily of computer hardware and recorded
and downloadable computer software used for collecting,
managing, interpreting, and analyzing data from laboratory
instruments; downloadable and recorded data analysis
software for laboratory, scientific, research, and medical
use; recorded and downloadable computer software using
artificial intelligence for managing and analyzing data from
laboratory and diagnostic instruments; downloadable and
recorded laboratory middleware software for providing an
interface between laboratory, physician, hospital, and
medical information systems and laboratory instruments;
downloadable and recorded software for clinical decision
support; recorded and downloadable software for sample
processing and storage, sample sorting, routing, sample
scheduling and sample analysis for use with medical and
laboratory diagnostic systems; laboratory consumables for
scientific and research use, namely, laboratory centrifuge
buckets and adapters, automated lab positioners, laboratory
specimen tubes, laboratory specimen bottles, test tube racks
for laboratory specimen handling and storage, laboratory
specimen tube rack inserts, test tube rack holders,
laboratory storage devices in the nature of cap mats,
laboratory plate seal rollers and seals therefor, well
plates, reagent and solvent reservoirs, pipette tips,
probes, laboratory cassettes for specimen processing and
storage, cell culture flask adapters, disposable plastic
bioreactors for cell culturing, well plates, microfluidic
plates, lids for well plates, lids for microfluidic plates,
reagent bottles sold empty, reagent holding trays, funnels,
droppers, dropper caps and waste bags specially adapted for
holding laboratory waste, and rehydrator and inoculator
devices for rehydrating and inoculating multiple wells with
inoculum liquids; downloadable and recorded operating system
software for apparatus and instruments for the analysis of
biological samples and bodily fluids, for medical diagnostic
use; computer hardware and recorded and downloadable
computer operating system software for medical diagnostic
analyzers for the analysis of biological samples and bodily
fluids, for medical purposes. Apparatus and instruments for the analysis of biological
samples and bodily fluids, for medical diagnostic use and
replacement parts and fittings therefor; clinical laboratory
analyzers for the analysis of biological samples and bodily
fluids, for medical purposes; apparatus and instruments for
medical diagnostic use, namely, analyzers for the analysis
of biological samples and bodily fluids; instrument for the
analysis of biological samples and bodily fluids, for
medical purposes; medical diagnostic analyzers for the
analysis of biological samples and bodily fluids, for
medical purposes; instruments for use in automated microbial
identification and susceptibility testing, for medical
purposes; urine analyzers, for medical purposes; chemistry
analyzers, for medical purposes, namely, medical laboratory
devices used to calculate the concentration of certain
substances within samples of bodily fluids; protein
chemistry analyzers, for medical purposes, namely, medical
laboratory devices used to calculate the concentration of
protein within samples of bodily fluid; immunoassay
apparatus and instruments, namely, immunoassay analyzers for
identifying and detecting the concentration of specific
substances in a sample, for medical purposes; hematology
analyzers, for medical purposes; automated blood banking
analyzers; automated sample handling and testing equipment
for medical diagnostic use; sample preparation device, for
medical diagnostic uses; flow cytometers, for medical
diagnostic uses. Online retail store services featuring laboratory apparatus
and instruments and their parts, fittings, and accessories
therefor and software sold therewith, reagents and chemical
preparations, and laboratory consumables; business
consulting and advisory services for laboratories, clinics,
healthcare providers and related businesses to improve
laboratory processes, quality, performance, productivity,
efficiency, reduce waste and reduce costs; business
consulting services, namely, evaluation of laboratory
workflows and processes to improve quality, performance, and
efficiency; business efficiency advice for laboratories,
clinics, healthcare providers and related businesses. Repair and maintenance of laboratory equipment and
diagnostic instruments; technical support services in the
nature of troubleshooting being repair of problems with
laboratory apparatus and instruments; technical support
services in the nature of troubleshooting of computer
hardware problems with laboratory apparatus and instruments. Providing training in the use of laboratory equipment and
diagnostic instruments; training for laboratories, clinics,
healthcare providers and related businesses in the fields of
laboratory equipment and diagnostic instruments to improve
laboratory quality, performance, and efficiency; conducting
workshops and seminars for laboratories, clinics, healthcare
providers and related businesses in the fields of laboratory
equipment and diagnostic instruments to improve laboratory
quality, performance, and efficiency. Scientific research; scientific analysis of data in the
field of laboratory testing; laboratory analysis in the
field of medicine, namely, analysis of chemical markers for
medical research purposes; scientific consulting services in
the field of laboratory operation and automation; consulting
services in the field of laboratory testing, diagnostics,
and laboratory processes and standards; scientific research
in the field of laboratory equipment and instruments;
product development for laboratory and diagnostic equipment;
technical support services in the nature of troubleshooting
of computer software problems with laboratory apparatus and
instruments; technological advice relating to laboratory
apparatus and instruments; Software as a service (SAAS)
services featuring software for uploading, managing,
analyzing, sharing, and preserving data related to
scientific research and medical diagnostic testing; software
as a service (SAAS) services featuring software for
automating and optimizing workflow operations, for workflow
management for laboratories, and electronic data interchange
(EDI); providing temporary use of non-downloadable medical
analysis software for use in patients diagnostics; providing
temporary use of non-downloadable cloud-based software for
assisting hospitals and medical laboratories in clinical,
financial reimbursement decisions, inventory management,
sample scheduling, and laboratory management and regulatory
reporting; software as a service (SAAS) services featuring
software for technical support and advice, troubleshooting,
diagnosis, repair, and maintenance of laboratory equipment
and diagnostic instruments; software as a service (SAAS)
services featuring software for collecting, managing,
storing, analyzing, and reporting biological information,
and for managing projects, laboratory workflows, and data,
for use for scientific, diagnostic, and research purposes;
software as a service (SAAS) services featuring software for
data analysis for laboratory, scientific, research, and
medical use; software as a service (SAAS) services featuring
artificial intelligence software for managing and analyzing
data from laboratory and diagnostic instruments; software as
a service (SAAS) services featuring laboratory middleware
software for providing an interface between laboratory,
physician, hospital, and medical information systems and
laboratory instruments; software as a service (SAAS)
services featuring software for clinical decision support;
development of medical diagnostic tests for others. Medical information in the field of in vitro diagnostic
testing; providing healthcare information in the field of in
vitro diagnostic testing; providing medical in vitro
diagnostic testing information; medical analysis services
for in vitro diagnostic tests; providing medical information
to medical professionals in the form of biomedical data in
the field of in vitro diagnostic testing; providing
personalized healthcare and medical information in the form
of biomedical data in the field of in vitro diagnostic
testing; medical diagnostic reporting services in the field
of in vitro diagnostic testing; laboratory analysis in the
field of medicine, namely, analysis of chemical markers for
medical diagnostic purposes.
01 - Chemical and biological materials for industrial, scientific and agricultural use
05 - Pharmaceutical, veterinary and sanitary products
09 - Scientific and electric apparatus and instruments
10 - Medical apparatus and instruments
35 - Advertising and business services
37 - Construction and mining; installation and repair services
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Chemical preparations and reagents, for scientific and
research use; reagents, assays, and chemical preparations
all for scientific, research, and laboratory purposes and
analysis; chemical preparations for scientific purposes,
other than for medical or veterinary purposes; chemical
reagents, other than for medical or veterinary purposes;
chemical substances for analyses in laboratories, other than
for medical or veterinary purposes; reagents for use in
genetic research; genomic reagents, for scientific and
research use; flow cytometry reagents, for scientific and
research use; reagents and chemical preparations used for
the identification and characterization of cells, for
scientific and research use; reagents for use in particle
size analysis and characterization, for scientific and
research use; panels of reagents, for scientific and
research use; laser excitable dyes, for scientific and
research use; fixable viability dyes, for scientific and
research use; dyes and stains for the identification and
characterization of cells, for scientific and research use;
chemical reagents containing magnetic beads for the
isolation, purification, and extraction of DNA and RNA, for
scientific and research use; nucleic acid isolation and
purification kits consisting primarily of reagents and
magnetic beads, for scientific and research use; lysing
reagents, for scientific and research use; chemiluminescent
reagents, for scientific and research use. Chemical preparations and reagents, for medical diagnostic
purposes; reagents and chemical preparations, for medical
diagnostic purposes; panels of reagents, for medical
purposes; medical assays for testing of body fluids;
chemicals and reagents for in vitro medical diagnostic use;
reagents, assays, and chemical preparations for testing of
biological specimens, for medical diagnostic purposes;
reagents for use in flow cytometry, for medical purposes;
lysing reagents, for medical purposes; biological tissue,
namely, animal cells, tissues, and blood, for medical
purposes; medical diagnostic reagents and solutions, namely,
diluents; antibiotics in test containers, canisters, panels
and microtitre plates, for medical use; chemiluminescent
reagents, for medical use. Analytical apparatus and instruments for analyzing
biological samples and bodily fluids, for laboratory use and
replacement parts and fittings therefor and downloadable and
recorded operating system software sold therewith;
laboratory apparatus and instruments for analyzing
biological samples and bodily fluids, for scientific or
research purposes and downloadable and recorded operating
system software for use in connection with the apparatus and
instruments; downloadable and recorded software for use in
operating, monitoring, and controlling laboratory and
diagnostic apparatus and instruments and analyzing data
generated by the apparatus and instruments; laboratory
instruments for the analysis of biological samples and
bodily fluids, for scientific and research purposes;
laboratory robots; laboratory sample preparation instruments
for scientific purposes; automated sample handling
equipment, for scientific and research use; automated liquid
handling instruments, for scientific and research use;
bioreactors for laboratory use; automated laboratory
equipment for cell culturing, namely, bioreactors and cell
culture plates; air particle counters; multi-parameter
biological cell sorter instruments, for scientific and
research use; laboratory centrifuges; centrifuge rotors
being parts of laboratory centrifuges; flow cytometers for
scientific, laboratory, and general research uses; total
organic carbon analyzers, for scientific and research
purposes; instruments for particle sizing, counting, and
analysis; microparticle processor apparatus and instruments,
for scientific and research purposes; laboratory apparatus
and instruments for nucleic acid cleanup and purification;
laboratory equipment for scientific purposes, namely, cell
analyzers; computer hardware and downloadable and recorded
computer operating software for use with laboratory and
diagnostic instruments, namely, for use in providing
automation of laboratory processes, control and monitoring
of laboratory instruments, instrument operation, sample
management, connectivity, data analysis, and data
management; downloadable and recorded software for technical
support and advice, troubleshooting, diagnosis, repair, and
maintenance of laboratory equipment and diagnostic
instruments; recorded and downloadable software for use with
laboratory instruments, namely, for use in monitoring and
controlling the operation of the instrument, setting up
experiment protocols, sample management, data collection,
data management, and data analysis; recorded and
downloadable software for collecting, managing, storing,
analyzing, and reporting biological information, and for
managing projects, laboratory workflows, and data, for use
for scientific, diagnostic, and research purposes; computer
system comprised primarily of computer hardware and recorded
and downloadable computer software used for collecting,
managing, interpreting, and analyzing data from laboratory
instruments; downloadable and recorded data analysis
software for laboratory, scientific, research, and medical
use; recorded and downloadable computer software using
artificial intelligence for managing and analyzing data from
laboratory and diagnostic instruments; downloadable and
recorded laboratory middleware software for providing an
interface between laboratory, physician, hospital, and
medical information systems and laboratory instruments;
downloadable and recorded software for clinical decision
support; recorded and downloadable software for sample
processing and storage, sample sorting, routing, sample
scheduling and sample analysis for use with medical and
laboratory diagnostic systems; laboratory consumables for
scientific and research use, namely, laboratory centrifuge
buckets and adapters, automated lab positioners, laboratory
specimen tubes, laboratory specimen bottles, test tube racks
for laboratory specimen handling and storage, laboratory
specimen tube rack inserts, test tube rack holders,
laboratory storage devices in the nature of cap mats,
laboratory plate seal rollers and seals therefor, well
plates, reagent and solvent reservoirs, pipette tips,
probes, laboratory cassettes for specimen processing and
storage, cell culture flask adapters, disposable plastic
bioreactors for cell culturing, well plates, microfluidic
plates, lids for well plates, lids for microfluidic plates,
reagent bottles sold empty, reagent holding trays, funnels,
droppers, dropper caps and waste bags specially adapted for
holding laboratory waste, and rehydrator and inoculator
devices for rehydrating and inoculating multiple wells with
inoculum liquids; downloadable and recorded operating system
software for apparatus and instruments for the analysis of
biological samples and bodily fluids, for medical diagnostic
use; computer hardware and recorded and downloadable
computer operating system software for medical diagnostic
analyzers for the analysis of biological samples and bodily
fluids, for medical purposes. Apparatus and instruments for the analysis of biological
samples and bodily fluids, for medical diagnostic use and
replacement parts and fittings therefor; clinical laboratory
analyzers for the analysis of biological samples and bodily
fluids, for medical purposes; apparatus and instruments for
medical diagnostic use, namely, analyzers for the analysis
of biological samples and bodily fluids; instrument for the
analysis of biological samples and bodily fluids, for
medical purposes; medical diagnostic analyzers for the
analysis of biological samples and bodily fluids, for
medical purposes; instruments for use in automated microbial
identification and susceptibility testing, for medical
purposes; urine analyzers, for medical purposes; chemistry
analyzers, for medical purposes, namely, medical laboratory
devices used to calculate the concentration of certain
substances within samples of bodily fluids; protein
chemistry analyzers, for medical purposes, namely, medical
laboratory devices used to calculate the concentration of
protein within samples of bodily fluid; immunoassay
apparatus and instruments, namely, immunoassay analyzers for
identifying and detecting the concentration of specific
substances in a sample, for medical purposes; hematology
analyzers, for medical purposes; automated blood banking
analyzers; automated sample handling and testing equipment
for medical diagnostic use; sample preparation device, for
medical diagnostic uses; flow cytometers, for medical
diagnostic uses. Online retail store services featuring laboratory apparatus
and instruments and their parts, fittings, and accessories
therefor and software sold therewith, reagents and chemical
preparations, and laboratory consumables; business
consulting and advisory services for laboratories, clinics,
healthcare providers and related businesses to improve
laboratory processes, quality, performance, productivity,
efficiency, reduce waste and reduce costs; business
consulting services, namely, evaluation of laboratory
workflows and processes to improve quality, performance, and
efficiency; business efficiency advice for laboratories,
clinics, healthcare providers and related businesses. Repair and maintenance of laboratory equipment and
diagnostic instruments; technical support services in the
nature of troubleshooting being repair of problems with
laboratory apparatus and instruments; technical support
services in the nature of troubleshooting of computer
hardware problems with laboratory apparatus and instruments. Providing training in the use of laboratory equipment and
diagnostic instruments; training for laboratories, clinics,
healthcare providers and related businesses in the fields of
laboratory equipment and diagnostic instruments to improve
laboratory quality, performance, and efficiency; conducting
workshops and seminars for laboratories, clinics, healthcare
providers and related businesses in the fields of laboratory
equipment and diagnostic instruments to improve laboratory
quality, performance, and efficiency. Scientific research; scientific analysis of data in the
field of laboratory testing; laboratory analysis in the
field of medicine, namely, analysis of chemical markers for
medical research purposes; scientific consulting services in
the field of laboratory operation and automation; consulting
services in the field of laboratory testing, diagnostics,
and laboratory processes and standards; scientific research
in the field of laboratory equipment and instruments;
product development for laboratory and diagnostic equipment;
technical support services in the nature of troubleshooting
of computer software problems with laboratory apparatus and
instruments; technological advice relating to laboratory
apparatus and instruments; Software as a service (SAAS)
services featuring software for uploading, managing,
analyzing, sharing, and preserving data related to
scientific research and medical diagnostic testing; software
as a service (SAAS) services featuring software for
automating and optimizing workflow operations, for workflow
management for laboratories, and electronic data interchange
(EDI); providing temporary use of non-downloadable medical
analysis software for use in patients diagnostics; providing
temporary use of non-downloadable cloud-based software for
assisting hospitals and medical laboratories in clinical,
financial reimbursement decisions, inventory management,
sample scheduling, and laboratory management and regulatory
reporting; software as a service (SAAS) services featuring
software for technical support and advice, troubleshooting,
diagnosis, repair, and maintenance of laboratory equipment
and diagnostic instruments; software as a service (SAAS)
services featuring software for collecting, managing,
storing, analyzing, and reporting biological information,
and for managing projects, laboratory workflows, and data,
for use for scientific, diagnostic, and research purposes;
software as a service (SAAS) services featuring software for
data analysis for laboratory, scientific, research, and
medical use; software as a service (SAAS) services featuring
artificial intelligence software for managing and analyzing
data from laboratory and diagnostic instruments; software as
a service (SAAS) services featuring laboratory middleware
software for providing an interface between laboratory,
physician, hospital, and medical information systems and
laboratory instruments; software as a service (SAAS)
services featuring software for clinical decision support;
development of medical diagnostic tests for others. Medical information in the field of in vitro diagnostic
testing; providing healthcare information in the field of in
vitro diagnostic testing; providing medical in vitro
diagnostic testing information; medical analysis services
for in vitro diagnostic tests; providing medical information
to medical professionals in the form of biomedical data in
the field of in vitro diagnostic testing; providing
personalized healthcare and medical information in the form
of biomedical data in the field of in vitro diagnostic
testing; medical diagnostic reporting services in the field
of in vitro diagnostic testing; laboratory analysis in the
field of medicine, namely, analysis of chemical markers for
medical diagnostic purposes.
94.
METHOD OF DETERMINING SEPSIS IN THE PRESENCE OF BLAST FLAGGING
Embodiments of the present disclosure may allow for an efficient and accurate way or system to assess whether an individual has sepsis, including an individual who may exhibit symptoms or clinical criteria similar to inflammation. Embodiments include using a laboratory test that may be routinely ordered. Embodiments of the present invention may allow for the diagnosis of sepsis even when some cells show an abnormal size. Often, when white blood cells show a likelihood of an abnormal size, a “blast flag” in a system is triggered to warn a user that the sample may warrant further analysis. Unexpectedly, the diagnosis of sepsis status using standard deviation of monocyte volume may be more accurate when considering whether a blast flag has been triggered. Based on the sepsis status, treatment may be started quickly, thereby preventing complications, including organ failure and death, of not treating sepsis fast enough.
G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/06 - Investigating concentration of particle suspensions
G01N 15/1031 - Investigating individual particles by measuring electrical or magnetic effects
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 33/487 - Physical analysis of biological material of liquid biological material
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
G01N 33/569 - ImmunoassayBiospecific binding assayMaterials therefor for microorganisms, e.g. protozoa, bacteria, viruses
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
95.
ASYNCHRONOUS TRAINING FOR CLASSIFICATION IN FLOW CYTOMETRY
Systems, devices, and method for asynchronous training for classification of cellular subsets for flow cytometry. A training file is identified for training a classifier. A gate associated with the training file is received for training the classifier and a model for training the classifier is received. The classifier training begins and, concurrent with training of the classifier: flow cytometry files are classified and an accuracy of the classifier is monitored. A determination is made whether the gate should be adjusted based on the accuracy and a determination is made whether training of the classifier is complete.
Systems and methods of flushing and washing a titer container. The container is drained, by a pump in fluid communication with an access port of the container via a multiport valve, of at least one of a biological or control sample comprising a first volume. The container is flushed, by the pump, with flushing agent comprising a second volume via the access port and the multiport valve. The container is filled, by the pump, with a cleaning agent comprising a third volume and rinsed, after a cleaning period, by the pump, with flushing agent comprising the second volume.
The disclosed flow cytometer includes a wavelength division multiplexer (WDM). The WDM includes an extended light source providing light that forms an object, a collimating optical element that captures light from the extended light source and projects a magnified image of the object as a first light beam, and a first focusing optical element configured to focus the first light beam to a size smaller than the object of the extended light source to a first semiconductor detector. The disclosed flow cytometer further includes a composite microscope objective to direct light emitted by a particle in a flow channel in a viewing zone of the composite microscope to the extended light source, a fluidic system and a peristaltic pump configured to supply liquid sheath and liquid sample to the flow channel, and a laser diode system to illuminate the particle in the flow channel.
G02B 6/293 - Optical coupling means having data bus means, i.e. plural waveguides interconnected and providing an inherently bidirectional system by mixing and splitting signals with wavelength selective means
G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes
G02B 27/00 - Optical systems or apparatus not provided for by any of the groups ,
A method for automatically defragmenting pipette tips in a tip tray during the performance of a procedure defined by a protocol stored in memory of a fluid handling system, the method comprising determining locations of open receptacles in the tip tray where pipette tips are absent, determining locations of filled receptacles in the tip tray where pipette tips are present, and using the fluid handling system to move pipette tips from filled receptacles to open receptacles to complete strings of filled receptacles in the tip tray.
A visual analysis system may be automatically focused (or the focus of such a system may be automatically corrected) by subjecting one or more images captured by such a system to a multi-layer analysis. In such an analysis, a cell boundary may be identified in an input image based on the lightness value of the pixels of the input image. Based on the identified cell boundary, a predicted nominal focus value is determined which can provide a focusing distance (e.g., a distance between the focal plane of a camera used when an image was captured and the actual focal plane for an in-focus image). This focusing distance may then be used to (re) focus a camera or for other purposes (e.g., generating an alert).
A computer-implemented method is provided. The method comprises: accessing, by a first computing device, sample-processing data, wherein the sample-processing data comprise information indicative of a set of procedures to be carried out on a biological sample, wherein each procedure comprises one or more actions; obtaining, by the first computing device, ALS1 state data, wherein the ALS1 state data comprise information indicative of a state of a first automated laboratory system-ALS1; obtaining, by the first computing device, ALS2 operation data, wherein the ALS2 operation data comprise information indicative of an ALS2 set of actions of at least a first procedure, wherein the ALS2 set of actions either has been carried out or is scheduled to be carried out by a second automated laboratory system-ALS2-on the biological sample; generating, by the first computing device, ALS1 processing data by using the sample-processing data, the ALS1 state data and the ALS2 operation data, wherein the ALS1 processing data comprise information indicative of an ALS1 set of actions of at least a second procedure of the sets of procedures; and initiating, by the first computing device, the generation of an ALS1 route plan for the first automated laboratory system, the ALS1 route plan being based on the ALS1 processing data.
