The invention basically refers to a medical imaging system (200), preferably a surgical imaging system, comprising an illumination system (220) and an imaging sensor (230), wherein the illumination system (220) comprises a flat lens (222) and at least one illumination light source (210), wherein the flat lens (222) and the at least one illumination light source (210) are aligned together with the imaging sensor (130, 230) along an optical path (216) of light originating from the at least one illumination light source, wherein the flat lens (222) is located, along the optical path (216), between the imaging sensor (230) and the at least one illumination light source (210).
The present invention essentially relates to an optical system (100, 200) comprising an imaging flat lens (110) and a light guiding arrangement (120) of flat shape, the optical system (100) having an object side (104) and an image side (102), wherein the light guiding arrangement (120) is configured to receive illumination light (152) and provide the illumination light to the object side (104), wherein the optical system (100) is configured to allow light to be transmitted from the object side (104) via the imaging flat lens (110) to the image side (102).
A61B 3/00 - Apparatus for testing the eyesInstruments for examining the eyes
A61B 3/12 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
G02B 1/00 - Optical elements characterised by the material of which they are madeOptical coatings for optical elements
A laser microdissection system includes a microscope stage configured to receive a sample to be cut and a collecting unit comprising a collecting vessel arranged below the sample, an optical detection unit configured to capture a content image of an interior of the collecting vessel and to generate content image data corresponding to the content image, and a control unit configured to process the content image data and to determine whether a dissectate cut from the sample is located in the collecting vessel based on the content image data and taking into account previous image data corresponding to a previous image of the interior of the collecting vessel that was taken before the dissectate was cut from the sample, and/or taking into account reference image data corresponding to a reference image of an interior of a reference collecting vessel of a same type as the at least one collecting vessel.
Examples relate to an apparatus for an optical imaging system comprising one or more processors and one or more storage devices. The apparatus is configured to obtain sample data from a sensor of a microscope of an optical imaging system. The sample data is indicative of an image of the sample. Further, the apparatus is configured to determine segmented data indicative of a segmentation of the image of the sample into a plurality of regions and to obtain object data indicative of an object for guidance of the user of the optical imaging system. The apparatus is further configured to determine, based on the object data and the segmented data, output data indicative of a composed output image of the image of the sample and the object for guidance, such that an opaque region of the plurality of regions overlays the object for guidance. Further, the apparatus is configured to transmit the output data for displaying on a display device.
An image reproduction method and device, and a storage medium. The method comprises: obtaining first metadata information corresponding to a first image (S101), wherein the first image is composed of more than one single-channel images, and the first metadata information comprises parameter information respectively corresponding to the more than one single-channel images and image processing information corresponding to the first image; for a sample to be observed, on the basis of the parameter information respectively corresponding to the more than one single-channel images, acquiring the more than one single-channel images corresponding to said sample (S102); superimposing the more than one single-channel images corresponding to said sample to generate a second image corresponding to said sample (S103); and on the basis of the image processing information, performing image processing on the second image (S104). Therefore, a corresponding superimposed image can be automatically obtained for a sample to be observed on the basis of a current superimposed image.
A method for generating a volumetric image of a sample (118) using a light sheet microscope (100, 300) comprises: Illuminating a plurality of layers (202) of the sample (118) arranged along a scanning direction (C) using the light sheet, wherein a light propagation direction (A) of the light sheet is tilted by a tilt angle (α) less than 90° with respect to the scanning direction (C). Generating layer images from the illuminated layers (202). Generating raw image data corresponding to an image stack comprising the layer images, the image stack being sheared by the tilt angle (α) or by 90° minus the tilt angle (α) and being distorted by the optical properties of the optical system (104). The method further comprises generating processed image data from the raw image data by defining an image space comprising voxel and corresponding to the imaged volume (200, 400) of the sample (118), and assigning at least one value to each voxel of the image space based on at least one value of at least one voxel of the image stack, wherein the voxel of the image space and the at least one voxel of the image stack are related by a non-linear transformation. Alternatively, the method comprises generating processed image data from the raw image data by applying the inverse of the non-linear transformation to the raw image data.
A sample carrier interface for mounting a sample carrier on a microscope stage includes a frame configured to receive the sample carrier and to be positioned atop an opening of the microscope stage, and a locking device configured to exert a lateral force to the sample carrier when the locking device is in a locked state to keep the sample carrier suspended above the opening when the sample carrier is received in the frame and the frame is positioned atop the opening of the microscope stage. The locking device is further configured to hold the sample carrier in place when the locking device is in the locked state and the sample carrier interface is moved to and from the microscope stage. The locking device includes an adjusting element for switching between the locked state and an unlocked state in which the locking device does not exert the lateral force.
A label for analysing a biological sample is provided. The label includes a backbone comprising at least one aptamer and at least one labelling moiety. The at least one aptamer is configured to specifically bind to the at least one labelling moiety by a complex structure of the at least one aptamer.
Disclosed is a method for detecting analytes in a biological sample, comprising following steps: a. contacting the biological sample with at least a first marker (100a) and at least a second marker (100b), wherein the at least first marker comprises a first affinity reagent (108a) configured to bind to a first analyte (102a) and a first nucleic acid label (104a) and wherein the at least second marker comprises a second affinity reagent (108b) configured to bind to a second analyte (102b) and a second nucleic acid label (104b), b. incubating the biological sample with said first marker and said second marker, in particular for a sufficient amount of time, to allow the at least first affinity reagent (108a) to bind to the first analyte (102a) and to allow the at least second affinity reagent (108b) to bind to the second analyte (102b), and c. adding at least one bridging strand (200) configured to bind to the first (104a) and second nucleic acid label (104b).
A first aspect of this disclosure is related to a computer-implemented method for identifying neuronal patterns in an image,
comprising the steps:
obtaining a first data set with Golgi-stained neuronal structures;
based on the first data set, determining a first auxiliary data set, AR1, based on a first type of neuronal structure and a second auxiliary data set, AR2, based on a second type of neuronal structure;
analyzing AR1 with a first method to identify information related to the first type of neuronal structure in AR1;
analyzing AR2 with a second method to identify information related to the second type of neuronal structure in AR2;
generating a second data set with the identified information related to the first and second type of neuronal structures.
Disclosed in the present invention are an image stitching method and apparatus, an image processing method, and a readable storage medium. The image stitching method comprises: according to a preset arrangement sequence, performing row arrangement and column arrangement of a plurality of unit images to be stitched; determining one of a row arrangement direction and a column arrangement direction as a first direction, and the other one as a second direction; determining seams between adjacent images among the plurality of unit images in the first direction, and stitching adjacent unit images according to the seams, so as to obtain a plurality of intermediate images; and determining seams between adjacent images among the plurality of intermediate images in the second direction, and stitching adjacent intermediate images according to the seams, so as to obtain a result image. In the present invention, images are stitched in two-dimensional directions by means of generating a seam network, thereby avoiding the problems such as artifacts, misalignments, overlapping and blank spaces that are generated during image stitching.
A microscope stand (102) comprises a base (110) having an observation position (114) configured to receive an object (108) and a microscope column (116) extending in a vertical direction (V) from the base (110). An imaging unit carrier (118) is moveably mounted to the microscope column (116) and configured to mount an imaging unit (104) to the microscope stand (102). The imaging unit (104) is configured to generate a microscopic image of the object (108) received in the observation position (114). The microscope column (116) further comprises a coarse drive (302) which is configured to coarsely adjust the vertical position of the imaging unit carrier (118) along the vertical direction (V), and a fine drive (304) mechanically coupled to the coarse drive (302) and arranged in series with the coarse drive (302). The fine drive (304) is configured to finely adjust the vertical position of the imaging unit carrier (118) along the vertical direction (V). The coarse drive (302) is arranged and configured to be moveable by the fine drive (304), and the fine drive (304) is configured to move the coarse drive (302) and the imaging unit carrier (118) along the vertical direction (V) in order to finely adjust the vertical position of the imaging unit carrier (118).
The first aspect of this disclosure is related to a computer-based method for measurement of a plurality of optical foci, comprising the steps: measuring a first focus; obtaining one or both of: a) a focus range for a measurement of a second focus, wherein the focus range is based on the first focus; b) a starting value for a measurement of a second focus, wherein the starting value is based on the first focus; measuring the second focus with the obtained focus range and/or staring value; discarding the second focus, if the second focus is measured as an extreme value of the focus range; measuring a third focus.
A positioning device for an imaging device includes a base element having a first opening, a first circle element arranged rotatably in the first opening and having a second opening, and a second circle element arranged rotatably in the second opening and having a third opening. A center of rotation of the second circle element is eccentric with respect to a center of rotation of the first circle element. The positioning device further includes a third circle element arranged rotatably in the third opening. A center of rotation of the third circle element is eccentric with respect to the center of rotation of the second circle element. The third circle element has a fourth opening configured to receive a sample carrier.
The present invention essentially relates to a system (150) comprising one or more processors (152) and one or more storage devices (154), for generating training data for training of a machine-learning algorithm, wherein the system is configured to: receive a fluorescence image (129, 129') of an object (112, 162), wherein the fluorescence image (129, 129') has been obtained using a surgical imaging system (100); generate an amplified fluorescence image (132, 132'), based on the fluorescence image (128); generate an image pair (134), the image pair comprising the fluorescence image (129, 129') and the amplified fluorescence image (132, 132'); and provide the image pair (134) for training of a machine-learning algorithm, wherein the machine-learning algorithm is to be trained for use with said or another surgical imaging system.
The present invention essential relates to a controller (150) for a surgical imaging system (100), wherein the surgical imaging system is configured to perform two imaging modes, the two imaging modes comprising a white light imaging mode (120) and a fluorescence imaging mode (126), wherein, in the white light imaging mode, the surgical imaging system is configured to acquire white light images (122) of an object (112), and wherein, in the fluorescence imaging mode (126), the surgical imaging system is configured to acquire fluorescence images (128) of the object (112), wherein the controller (150) is configured to: control the surgical imaging system (100) to perform one of the two imaging modes, and receive the images (122, 128) acquired in said one of the two imaging modes; control the surgical imaging system (100), upon provision of a switching command (124), to perform an imaging mode switch, comprising switching from the one to another of the two imaging modes; control the surgical imaging system (100) to perform said another one of the two imaging modes, and receive the images (122, 128) acquired in said another one of the two imaging modes; generate, when an imaging mode switch is performed, an image pair, the image pair (134) comprising a white light image acquired in the imaging mode before the switch and a fluorescence image acquired in the imaging mode after the switch; and provide the image pair (130) for training of a machine-learning algorithm.
A method for providing a composite image of a single biological sample, comprising the steps of generating a first image of the biological sample with a target protein, generating a second image of the biological sample with a target nucleic acid sequence, and generating a composite image that provides the relative locations of both the target protein and the target nucleic acid sequence. Also provided is a method of analyzing a biological sample, comprising providing a composite image of the biological sample according to the method for providing a composite image, and analyzing the expression of the protein and the nucleic acid sequences of interest from the composite image. Further provided are systems and kits that comprise the means for executing the novel methods.
G01N 33/574 - ImmunoassayBiospecific binding assayMaterials therefor for cancer
C12Q 1/6886 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
A system for characterizing a light beam includes a detector that includes at least one detector unit, and a micro-opto-electromechanical system that includes an array of mirrors. Each mirror is switchable between a first sand a second witching states. In the first switching state, the mirror reflects light emitted by a light source onto the detector. In the second switching state, the mirror reflects the light away from the detector. The system further includes a controller configured to cause a beam profile measurement to be performed on the light detected by the detector unit while selectively switching the mirrors between the first and the second switching states, and an optical unit configured to direct the light in a form of two different input light beams onto the micro-opto-electromechanical system. The controller is configured to cause the beam profile measurement to be performed on each of the two input light beams.
A laser microdissection system (100, 200) comprises a stage (110) configured to receive a sample (104) to be cut and a collection unit (108) comprising at least one well (106) arranged below the sample (104), the well (106) being arranged and configured to capture a dissectate (102) cut from the sample (104). The laser dissection system further comprises an objective nosepiece (112) mounting two or more objectives (114a, 114b, 204) that can be alternately pivoted into the optical axis (O) of the laser microdissection system (100, 200) for at least cutting and/or observing the sample (104). At least one of the objectives (114a, 114b, 204) is configured as a long working distance objective (114a, 204) having a working distance (WD) greater than or equal to the depth of the well (106) with a depth of at least 11.2 mm and at most 42 mm, and is configured such that the other objectives (114b) mounted by the objective nosepiece (112) do not collide with the sample (104), the collection unit (108) and/or the stage (110), when a bottom of the well (106) is in focus of the long working distance objective (114a, 204).
G01N 1/04 - Devices for withdrawing samples in the solid state, e.g. by cutting
21.
DATA PROCESSING DEVICE AND COMPUTER-IMPLEMENTED METHOD FOR DISPLAYING BLOOD OXYGENATION AND CONCENTRATION VALUES IN A MEDICAL OBSERVATION DEVICE AND MEDICAL OBSERVATION DEVICE AND METHOD FOR ITS USE
A data processing device (170) is configured to access at least one digital input image (130), representative of a reflected-light image of a biological object (106) and comprising a plurality of input pixels (230, 232). A blood concentration value is determined at an input pixel (230, 232) of the plurality of input pixels (230, 232), the blood concentration value representing the amount of blood at a location of the object (106), which location is imaged in the input pixel (230, 232). Further, a blood oxygenation value is determined at the input pixel (230, 232), the blood oxygenation value representing the amount of deoxyhemoglobin and/or oxyhemoglobin at the location of the object (106). Output pixels (230, 234) of a digital output color image (160) are generated by assigning a color (222) to each output pixel (230, 234), the color (222) depending on the blood oxygenation value and the blood concentration value.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/1459 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters invasive, e.g. introduced into the body by a catheter
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
22.
DATA PROCESSING DEVICE, MEDICAL OBSERVATION APPARATUS AND METHOD
The present invention relates to a data processing device (300) for a medical observation apparatus, such as an endoscope, microscope or any other type of medical imaging device. The data processing device is configured to obtain (110) input image data (115), the input image data representing a scene acquired by the medical observation apparatus, to analyze (120) the input image data to determine different categories (125) in the scene, to generate (130) a plurality of stereoscopic images (135) from the input image data (115), each one of the stereoscopic images representing a different category (125) determined in the scene, to assign (140), based on the determined categories, a different disparity to each of the plurality of stereoscopic images to produce a plurality of processed stereoscopic images (145) and to combine (150) the plurality of processed stereoscopic images (145) to generate a combined stereoscopic image (155). Advantageously, the data processing device (300) enables stereoscopic visualization, even though it does not necessarily require the input image data (115) to derive from an apparatus compatible with stereoscopic imaging. The invention also relates to a medical observation apparatus (304) with such a data processing device (300). Further, the invention relates to a computer-implemented method (100) as well as a computer-readable medium and a computer program product.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
23.
APPARATUS, OPTICAL IMAGING SYSTEM, METHOD AND COMPUTER PROGRAM
Examples provide an apparatus (130) for an optical imaging system. The apparatus (130) comprises one or more processors (134) and one or more storage devices (136). The apparatus (130) is configured to obtain sample position data indicative of a position of the microscope relative to a sample. Further, the apparatus (130) is configured to obtain position data indicative of a position of a microscope of the optical imaging system relative to the user of the optical imaging system. The apparatus (130) is further configured to determine deviation angle data indicative of a deviation of a viewing path of the user on the sample and a viewing path of the microscope on the sample in an image plane of the optical imaging system. The deviation angle data is determined based on the position data and the sample position data. Further, the apparatus (130) is configured to determine output data for informing the user about the deviation of the viewing path of the user on the sample and the viewing path of the microscope on the sample. The output data is determined based on the deviation angle data. The apparatus (130) is further configured to transmit a display signal indicative of the output data.
A61B 3/113 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for determining or recording eye movement
A capture construct for capturing a plurality of analytes of a biological sample includes a nanostructure backbone, at least a first orientation indicator and a second orientation indicator, and at least a first plurality of capture regions on the nanostructure backbone. Each capture region includes at least one affinity capture reagent configured to capture one of the plurality of analytes.
C12Q 1/6818 - Hybridisation assays characterised by the detection means involving interaction of two or more labels, e.g. resonant energy transfer
G01N 33/542 - ImmunoassayBiospecific binding assayMaterials therefor with immune complex formed in liquid phase with steric inhibition or signal modification, e.g. fluorescent quenching
25.
MARKER, KIT AND METHOD FOR ANALYSING A BIOLOGICAL SAMPLE
A marker for analysing a biological sample includes an affinity reagent with a backbone and a barcode oligonucleotide attached to the backbone. The backbone is configured to specifically bind to a target analyte. The marker further includes a label comprising a label oligonucleotide and at least one labelling moiety. The label oligonucleotide and the barcode oligonucleotide of the affinity reagent are configured to hybridise to each other. One of the label oligonucleotide and the barcode oligonucleotide is sensitive to a degradation agent. The other one of the label oligonucleotide and the barcode oligonucleotide is resistant to the degradation agent.
C12Q 1/37 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving hydrolase involving peptidase or proteinase
C12Q 1/44 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving hydrolase involving esterase
26.
AFFINITY REAGENT, MARKER AND METHOD FOR ANALYSING A BIOLOGICAL SAMPLE
An affinity reagent for analysing a biological sample includes a backbone, and a barcode oligonucleotide attached to the backbone. The backbone includes a first nucleic acid analogue. The backbone is configured to specifically bind to a target analyte by a complex structure thereof. The barcode oligonucleotide includes a second nucleic acid analogue.
An affinity reagent for analysing a biological sample includes a nucleic acid backbone, and a barcode oligonucleotide attached to the nucleic acid backbone. The nucleic acid backbone is configured to specifically bind to a target analyte by a complex structure thereof. The nucleic acid backbone is configured to maintain the complex structure in presence of the barcode oligonucleotide.
An optically detectable label (102, 500) is provided comprising a nucleic acid backbone (108, 504) comprising multiple attachment positions (306, 308, 506a, 506b, 506c, 506d) including at least a first attachment position and a second attachment position. The optically detectable label (102, 500) further comprises multiple labelling moieties (106a, 106b, 106c, 106d, 106e, 310, 312, 502a, 502b, 502c, 502d), including at least a first labelling moiety and a second labelling moiety, each labelling moiety (106a, 106b, 106c, 106d, 106e, 310, 312, 502a, 502b, 502c, 502d) attached to a different one of the attachment positions (306, 308, 506a, 506b, 506c, 506d) of the nucleic acid backbone (108, 504). The first labelling moiety and the second labelling moiety are configured to form an energy transfer donor and acceptor pair. Further, the nucleic acid backbone (108, 504) has at least a first spatial state (300, 500a) and a second spatial state (322, 500b), wherein in the first spatial state the attachment position to which the first labelling moiety and the attachment position to which the second labelling moiety are attached to, are in proximity in order to enable an energy transfer between the first labelling moiety and the second labelling moiety. Moreover, the nucleic acid backbone (108, 504) is in the first spatial state (300, 500a) when a first staple strand (302, 510, 512) is bound to the nucleic acid backbone (108, 504). In further aspects, a marker (100) comprising the optically detectable label (102, 500) is provided and a method for analysing a biological sample.
C12Q 1/6818 - Hybridisation assays characterised by the detection means involving interaction of two or more labels, e.g. resonant energy transfer
G01N 33/532 - Production of labelled immunochemicals
G01N 33/533 - Production of labelled immunochemicals with fluorescent label
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 present disclosure relates to a surgical imaging device, a surgical imaging system and a method for ventilation of a surgical imaging device. The surgical imaging device comprises an image acquisition apparatus carrier, an arm, a stand, and a ventilation system. The ventilation system comprises an air intake, a fan, a flow path, and an exhaust part. The ventilation system is configured to generate an air flow inside the surgical imaging device. The fan is positioned within the flow path configured to create a directed air flow along the flow path from the air intake to the exhaust part. An intake port of the air intake is positioned at a first end of the arm. The exhaust part is positioned in the stand. The flow path extends from the intake port though the arm and the stand to the exhaust part.
A method for analysing a biological sample that includes multiple targets is provided. The method includes staining the targets of the biological sample with multiple detectable markers, providing affinity information specifying an affinity of each marker towards at least some of the targets, generating a readout of the biological sample with the markers to generate raw readout data, and unmixing the raw readout data by applying an unmixing algorithm and the affinity information to generate unmixed readout data with respect to the targets.
G01N 33/58 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving labelled substances
32.
DATA PROCESSING DEVICE AND COMPUTER-IMPLEMENTED METHOD FOR COMBINING A FLUORESCENCE EMISSION SIGNAL WITH AN EDGE DETECTION SIGNAL IN A MEDICAL OBSERVATION DEVICE
The invention relates to a data processing device (170) and a computer-implemented method for a medical observation device (100), such as a microscope or an endoscope, for observing an object (106) which contains a fluorophore (116, 118).The data processing device (170) is configured: to access input image data (120) representative of an image of the object (106), the input image data containing a reflectance signal (202), the reflectance signal being representative of light (198) reflected off the object, and a fluorescence emission signal (204), the fluorescence emission signal being representative of fluorescence emitted by the object; to apply an edge detection routine (148) to the reflectance signal (202) to generate an edge detection signal (600); and to generate a digital output image (160) from a combination of the edge detection signal and the fluorescence emission signal.
A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor combined with photographic or television appliances
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
33.
DATA PROCESSING DEVICE AND COMPUTER IMPLEMENTED INVENTION FOR A MEDICAL OBSERVATION DEVICE, FOR VISUALIZATION OF AN AUTOFLUORESCENCE SIGNAL AND A FLUORESCENCE EMISSION SIGNAL
The invention relates to a data processing device (170) for a medical observation device (100), such as a microscope or an endoscope, for observing an object (106) The data processing device (170) is configured to access input image data (120). The input image data contain an autofluorescence signal (224), the autofluorescence signal being representative of fluorescence emitted by a fluorophore (116) naturally contained in the object, and a fluorescence emission signal (204), the fluorescence emission signal being representative of fluorescence emitted by a fluorophore (118) artificially added to the object. Finally, the data processing device (170) is configured to generate a digital fluorescence color output image (160) from a combination of the fluorescence emission signal colored in a first color (308) and the autofluorescence signal colored in a second color (310), the second color being different from the first color.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor combined with photographic or television appliances
A61B 1/06 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor with illuminating arrangements
34.
APPARATUS FOR AN OPTICAL IMAGING SYSTEM, OPTICAL IMAGING SYSTEM, METHOD AND COMPUTER PROGRAM
Examples relate to an apparatus (130) for an optical imaging system comprising one or more processors (134) and one or more storage devices (136). The apparatus is configured to obtain sensor data indicative of a reflectance measurement of a sample (110). The apparatus is further configured to convert the sensor data into reflectance spectral data indicative of a reflectance spectral signal. The reflectance spectral signal is a function of the concentration distribution of the sample. Further, the apparatus is configured to obtain fluorescence spectral data indicative of fluorescence spectral signal of a fluorescence measurement of the sample. The apparatus is further configured to combine the reflectance spectral data and the fluorescence spectral data to combined spectral data. Further, the apparatus is configured to determine the concentration distribution of the sample based on the combined spectral data.
A first aspect of this disclosure is related to a method for analyzing images, comprising the steps determining a first set of requirements, obtaining a plurality of images of a specimen from an imaging device, in particular in a microscope, based on the first set of requirements, obtaining a second set of requirements, analyzing the specimen from the plurality of images based on the second set of requirements.
DATA PROCESSING DEVICE AND COMPUTER-IMPLEMENTED METHOD FOR COMBINING A FLUORESCENCE EMISSION SIGNAL WITH A SPECULAR REFLECTION SIGNAL IN A MEDICAL OBSERVATION DEVICE
The invention relates to a data processing device (170) and a computer-implemented method for a medical observation device (100), such as a microscope or an endoscope, for observing an object (106) which contains at least one fluorophore (116, 118), wherein the data processing device (170) is configured: to access input image data (120) representative of an image of the object (106), the input image data containing: a reflectance signal (202), the reflectance signal being representative of light (198) reflected off the object and containing a specular reflection signal (206), the specular reflection signal being representative of specular reflection (208) off the object, and a fluorescence emission signal (204), the fluorescence emission signal being representative of fluorescence emitted by the at least one fluorophore; to extract the specular reflection signal; and to generate a digital output image (106) from a combination of the extracted specular reflection signal and the fluorescence emission signal.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor combined with photographic or television appliances
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G01N 21/17 - Systems in which incident light is modified in accordance with the properties of the material investigated
09 - Scientific and electric apparatus and instruments
Goods & Services
Microscopes; cmos cameras; microscopic software; software,
for use in relation to the following goods: cmos cameras;
parts and accessories, for use in relation to the following
goods: microscopes and cmos cameras.
39.
MICROSCOPE CONTROL ARRANGEMENT, MICROSCOPE SYSTEM, METHOD OF CONTROLLING A MICROSCOPE AND COMPUTER PROGRAM
A microscope control arrangement includes one or more processors, one or more storage devices, and a display device. The one or more processors are configured to render a graphical user interface on the display device. The graphical user interface includes control widgets configured to receive user inputs. The one or more processors are further configured to translate the user inputs to the control widgets into at least one of an illumination setting or a detection setting in dependence of a microscopy operation mode selected from of a plurality of microscopy operation modes.
A first aspect of this disclosure relates to a computer-based method of setting an optical focus, comprising the steps of: obtaining a first threshold value for a drift of an optical focus, obtaining a first drift value, wherein it is based on measurements of at least one parameter regarding the focus at different points in time, comparing the first drift value with the first threshold value, outputting the first drift value if it exceeds the first threshold value inadmissibly.
An image processing system is configured to receive at least one reference image, wherein each reference image is a microscopy image capturing cells of a biological sample, wherein the at least one reference image includes at least one reference labeling directed to a reference cellular compartment of the captured cells. The image processing system is configured to employ a trained deep neural network for processing the at least one reference image to generate a target image, wherein the target image includes a target labeling directed to a target cellular compartment of the captured cells, wherein the at least one reference labeling comprises a fluorescence labeling, wherein the reference cellular compartment is a distributed structure within cells, and wherein the target cellular compartment is the cell nucleus.
A microscope control arrangement includes one or more processors and one or more storage devices. The one or more processors are configured to process fluorophore information indicating one or more fluorophores, derive control parameters based on the fluorophore information, and render a graphical user interface on a display device. The graphical user interface includes one or more fluorophore control widgets corresponding to the one or more fluorophores indicated by the fluorophore information. Each respective fluorophore control widget includes a first widget zone providing a user feedback indicating the corresponding fluorophore and a second widget zone indicating an illumination intensity associated with the corresponding fluorophore.
A detector device for a microscope includes a multi-element photodetector having a plurality of photodetector elements arranged in a photodetector array. Each photodetector element is configured to output a detector signal upon receiving light. The plurality of photodetector elements is arranged in one or more photodetector groups. Each photodetector group has a signal combiner configured to combine the detector signals of the photodetector elements into a collective output signal of the photodetector group to reduce a dead time thereof. In a case of only one photodetector group, the multi-element photodetector includes an optical distributor configured to distribute the light across the photodetector group; or in a case of more than one photodetector group, the photodetector groups differ from each other with respect to a density at which the photodetector elements are arranged in the respective photodetector group.
The invention relates to a data processing device for an imaging apparatus, the device being configured to obtain a length threshold value, to access input image data representing at least one digital input image, wherein the input image data comprise a shading signal representing a brightness decrease towards the edges of the at least one digital input image, and a content signal representing image features of the at least one digital input image, the image features having a length that is smaller than the length threshold value, to compute a baseline image based on the input image data and the length threshold value, wherein the baseline image is representative of an estimate of the shading signal, to generate at least one digital output image representative of an estimate of the content signal by at least one of a) subtracting the baseline image from the input image data and b) dividing the input image data by the baseline image. Advantageously, the data processing device allows a shading correction without the need for obtaining any separate background image or reducing the image size. The invention also relates to a computer-implemented method and a method for operating such an imaging apparatus. Further, the invention relates to a computer program and a computer-readable medium. Lastly, the invention relates to a neural network device trained by means of the data processing device or the computer-implemented method.
A first aspect of this disclosure is related to a device for augmentation of an image of an eye during a medical procedure, configured to: - obtain a first image of an eye; - obtain a first positional information related to the first image, wherein the first positional information is related to at least one of a state of the eye or a medical procedure to be performed at the eye; - obtain a second image of the eye during the medical procedure; - determine a second positional information based on the first image, on the first positional information and on the second image; - provide the second positional information together with the second image to a user.
A method for analysing a biological sample with at least one target analyte includes adding to the biological sample at least a first marker and a second marker. The first marker is configured to bind specifically to a first part of the at least one target analyte. The second marker is configured to bind specifically to a second part of the at least one target analyte. The method further includes determining a presence of the target analyte in the biological sample based on detecting the first marker and the second marker in the biological sample.
Examples relate to an optical imaging system 100 comprising a microscope (120). The microscope (120) comprises at most one optical imaging sensor (122) configured to acquire a first image of a sample (110) based on a first frequency range of visible light and a second image of the sample (110) based on a second frequency range of infrared light. Further, the microscope (120) comprises a first optical element (116) arranged along an optical path (140) of the microscope (120) for collimating a beam of light. The microscope (120) further comprises a second optical element (118) arranged along the optical path (140) of the microscope (120) defining the first aperture of the microscope (120) for the first frequency range of visible light. Further, the microscope (120) comprises an infrared filter (126) arranged along the optical path (140) of the microscope (120) defining a second aperture of the microscope (120) for the second frequency range of infrared light. The first aperture is different from the second aperture.
A carrier (100) for a sample holder (200) is provided comprising: a frame (102) defining a holding space (104) configured to receive the sample holder (200); wherein the frame (102) is configured to enclose the sample holder (200) at least partially on a plurality of sides; wherein the frame (102) is configured to enable visual inspection of at least a sample area of the sample holder (200); and wherein the frame (102) comprises at least one handling structure (114) configured to be engaged by a handling device (300a, 300b, 300c, 300d, 400, 604). In further aspects a transporter (500, 600, 800) for transporting the carrier (100) is provided, an analysis system (900) comprising the transporter is provided and a method for analysing biological sample (202) is provided.
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
DATA PROCESSING DEVICE FOR A MEDICAL OBSERVATION DEVICE SUCH AS A MICROSCOPE OR AN ENDOSCOPE AND COMPUTER-IMPLEMENTED METHOD FOR GENERATING A DIGITAL REFLECTANCE COLOR OUTPUT IMAGE
The invention relates to a data processing device (170) and a computer-implemented method for a medical observation device (100), such as a microscope or endoscope The medical observation device is configured for observing an object (106), which contains at least one fluorophore (116, 118), such as ICG, 5-ALA or is autofluorescence. In order to improve the quality of a reflectance image that is obtained while fluorescence of the at least one fluorophore is recorded, the data processing device is configured to access an input image set (200) com- prising at least one digital color input image (130). Each digital color input image represents an image of the object (106). The at least one digital color input image contains a fluorescence- emission signal (222) which is representative of emitted fluorescence of at least one fluoro- phore in the object. The at least one digital color input image (130) further contains a set of reflectance signals (202). Each reflectance signal represents a reflectance image of the object (106) in a different wavelength band. The set of reflectance signals contain at least a fluores- cence-excitation reflectance signal and a supplementary reflectance signal. The fluorescence- excitation reflectance signal (206) is representative of light reflected off the object (106) at wavelengths in the fluorescence excitation spectrum of the at least one fluorophore. The sup- plementary reflectance signal (204) is representative of light reflected off the object in a wave- length band which is spaced apart from the wavelengths represented in the fluorescence-ex- citation reflectance signal and the fluorescence-emission signal. The data processing device is then configured to generate a digital reflectance color output image (160) of the object from a combination of the reflectance signals.
A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor combined with photographic or television appliances
A61B 1/06 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor with illuminating arrangements
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
G01N 21/00 - Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
G02B 21/16 - Microscopes adapted for ultraviolet illumination
51.
METHOD FOR ANALYZING NEURONAL PATTERNS IN GOLGI-STAINED IMAGES
A first aspect of this disclosure is related to a computer-implemented method for identifying neuronal patterns in an image, comprising the steps: - obtaining a first data set with Golgi-stained neuronal structures; - based on the first data set, determining a first auxiliary data set, AR1, based on a first type of neuronal structure and a second auxiliary data set, AR2, based on a second type of neuronal structure; - analyzing AR1 with a first method to identify information related to the first type of neuronal structure in AR1; - analyzing AR2 with a second method to identify information related to the second type of neuronal structure in AR2; - generating a second data set with the identified information related to the first and second type of neuronal structures.
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 10/764 - 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 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
09 - Scientific and electric apparatus and instruments
Goods & Services
Microscopes; cmos cameras; microscopic software; software, for use in relation to the following goods: cmos cameras; parts and accessories, for use in relation to the following goods: microscopes and cmos cameras.
A sample carrier for receiving a sample includes an optical medium in which the sample is received, the optical medium having a first refractive index. A window portion defining two parallel surfaces includes an optically transparent material having a second refractive index, and is arranged at a bottom side of the sample carrier. The first and second refractive indices do not deviate by more than 2.5%.
A method for analysing a biological sample includes providing a biological sample with a plurality of target analytes, and introducing a first marker into the biological sample. The first marker includes a first affinity reagent and a first optically detectable label bound to the first affinity reagent. The first affinity reagent is configured to specifically bind to one of the target analytes. The method further includes generating a first optical readout of the biological sample with the first marker, applying the degradation agent to degrade the first affinity reagent, and introducing a second marker into the biological sample. The second marker includes a second affinity reagent and a second optically detectable label bound to the second affinity reagent. The second affinity reagent is configured to specifically bind to one of the target analytes. The method further includes generating a second optical readout of the biological sample with the second marker.
G01N 33/68 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving proteins, peptides or amino acids
55.
METHOD FOR PROVIDING POSITION INFORMATION FOR RETRIEVING A TARGET POSITION IN A MICROSCOPIC SAMPLE, METHOD FOR EXAMINING AND/OR PROCESSING SUCH A TARGET POSITION AND MEANS FOR IMPLEMENTING THESE METHODS
A method for providing position information for retrieving a target position in a microscopic sample includes providing a first representation of the sample at a first resolution including the target position; specifying a first target position identifier indicating the target position at the first resolution; acquiring an image stack comprising the target position indicated by the first target position identifier; providing a second representation at a second resolution higher than the first resolution based on the image stack; specifying a second target position identifier indicating the target position at the second resolution; specifying a plurality of reference position identifiers in the second representation indicating positions of optically detectable reference markers at the second resolution; and determining a set of geometric descriptors describing spatial relations between the second target position identifier and the plurality of reference position identifiers to provide the position information.
An imaging system for imaging a sample includes a sample moving unit configured to move the sample in a sample space along a movement direction. The imaging system further includes at least one detection optic including an optical axis enclosing a first angle with the movement direction within a range of 20° to 70°, the optical axis of the at least one detection optic and the movement direction defining a first plane; and at least one illumination optic including an optical axis that encloses a second angle with the movement direction within a range of 70° to 110°, and that encloses a third angle with the optical axis of the at least one detection optic within a range of 70° to 110°, the optical axis of the at least one illumination optic and the movement direction defining a second plane, the first and second planes intersecting and being different.
Examples relate to a system, to a method and to a computer program for controlling a user interface. The system is configured to determine a position of a first point of reference based on a position of a first point on the body of a user for a first point of time and a second point of time. The system is configured to determine a position of a second point of reference based on a position of a pointing indicator used by the user for the first point of time and the second point of time. The system is configured to determine a first device based on the first point of reference and the second point of reference for the first point of time and a second device based on the first point of reference and the second point of reference for the second point of time. The system is configured to determine a response based on the determined first and second device. The act of determining a response comprises controlling the second device to display information displayed on the first device.
A method for marking a biological sample includes providing a biological sample with at least one first target analyte, introducing into the biological sample at least one first nucleic acid backbone, at least one first label configured to attach to the first nucleic acid backbone, and at least one first affinity reagent specific to the first target analyte and configured to attach to the first nucleic acid backbone, and introducing into the biological sample a first plurality of staple strands. Each staple strand of the first plurality of staple strands is configured to hybridise to pairs of folding binding sites of the first nucleic acid backbone, in order to fold the first nucleic acid backbone and generate a compact optically detectable first marker in the biological sample.
A method for generating at least a first control area for a biological analysis includes depositing on a surface a solution comprising a first control analyte in order to generate the first control area. A system is configured to carry out the method. A method is also provided for analysing a biological sample including at least one first target analyte.
Examples relate to a system, to a method and to a computer program for controlling a user interface. The system comprises one or more processors. It is configured to determine a posi- tion of a first point of reference based on a position of a first point on the body of a user, determine a position of a second point of reference based on a position of a pointing indicator used by the user, adjust the user interface based on the determined position in the user inter- face, generate a display signal comprising the adjusted user interface; and provide the display signal to a display device.
A method for assaying a plurality of biological samples is provided. The method includes preparing a plurality of discrete entities, each discrete entity comprising a polymeric compound, at least one biological sample, and a marker; arranging the plurality of discrete entities in an imaging container; generating at least one first optical read-out of at least one discrete entity; determining a first representation of the marker and at least one characteristic related to the at least one biological sample for the at least one discrete entity based on the at least one first optical read-out; and identifying the at least one discrete entity of the plurality of discrete entities from the imaging container as a discrete entity of interest based on the at least one characteristic related to the at least one biological sample and the first representation of the marker of the at least one discrete entity.
A linear drive for moving a functional unit of a microscope is provided. The linear drive includes a first moveable member that is rotatable about an axis of rotation and fixed with respect to linear movement along the axis of rotation; a second moveable member that is connected to the functional unit, fixed against a rotation about the axis of rotation, and moveable along the axis of rotation; and a spacing member engaged with the first moveable member at a first point and the second moveable member at a second point, and configured to maintain a constant spacing between the first point of the first moveable member and the second point of the second moveable member.
Examples relate to an apparatus for an optical imaging system, an optical imaging system, a method, and a computer program. Examples provide an apparatus for an optical imaging system, comprising one or more processors and one or more storage devices. The apparatus is configured to receive a first trigger signal indicative of a desire of a user of the optical imaging system to run a measurement. The measurement requires a first geometry element and a second geometry element. Further, the apparatus is configured to receive a second trigger signal indicative of the first geometry element and the second geometry element. Further, the apparatus is configured to determine a measurement parameter, based on the first trigger signal and the second trigger signal and control the measurement based on the measurement parameter.
Examples relate to an apparatus for an optical imaging system, comprising one or more pro¬ cessors and one or more storage devices. The apparatus is configured to receive sensor data of a sensor of the optical imaging system. The sensor data is received from the optical imaging system, e.g., from the sensor. The sensor data is indicative of a live view of the sample through a microscope of the optical imaging system. Further, the apparatus is configured to generate a visual overlay comprising a visual representation of the live view and the icon. The visual overlay is generated based on the sensor data. Further, the apparatus is configured to transmit a display signal indicative of the visual overlay.
Examples relate to an apparatus for an optical imaging system, an optical imaging system, a method, and a computer program. Examples provide an apparatus for an optical imaging system, comprising one or more processors and one or more storage devices. The apparatus is configured to receive sensor data of the sensor of the optical imaging system. The sensor data is received from the optical imaging system. The sensor data is indicative of a live view of a sample through microscope of the optical imaging system. Further, the apparatus is configured to generate a visual overlay comprising a visual representation of the live view and a configuration window for configuring a measurement of the sample. The visual overlay is generated based on the sensor data. Further, the apparatus is configured to transmit a display signal indicative of the visual overlay.
A single-particle localization microscope includes a light source configured to generate illumination light for illuminating a sample region, and an optical illumination system configured to shape the illumination light into a localizing light distribution having a substantially zero intensity minimum at a target point within the sample region. The localizing light distribution is adapted to cause a single particle in a fluorescent state located in the sample region outside the intensity minimum to emit fluorescent light. The optical illumination system is further configured to shape the illumination light into an auxiliary light distribution having a non-zero intensity at the target point such that the auxiliary light distribution is defined in a spatial extent and/or in its shape by the localizing light distribution.
A label for marking a target structure includes at least one polyyne and at least one oligonucleotide. The at least one polyyne is configured to be detectable via a distinct Raman spectroscopy characteristic.
A marker for analyzing a biological sample includes a label comprising an oligonucleotide backbone and at least a first detectable moiety, and an affinity reagent configured to specifically bind to a target molecule of the biological sample. the oligonucleotide backbone of the label is bound to the affinity reagent. The oligonucleotide backbone includes at least one cleavage site cleavable by a chemical agent.
Examples relate to an apparatus for an optical imaging system. The apparatus comprises one or more processors, a master storage device and a slave storage device. The apparatus is configured to set a data rate for reception of sensor data of a sensor of the optical imaging system. The sensor data is indicative of a live view of a sample through a microscope of the optical imaging system. The data rate is set by the master storage device. Further, the apparatus is configured to receive the sensor data based on the set data rate at the master storage device and at the slave storage device. The apparatus is further configured to store the receied sensor data for transmission to a master display device. The sensor data for transmission to the mster display device is stored at the master storage device. The apparatus is further configured to store the received sensor data for transmission to a slave display device. The sensor data for transmission to the slave display device is stored at the slave storage device. The apparatus is further configured to transmit the stored sensor data from the master storage device. Further, the apparatus is configured to transmit the stored sensor data from the slave storage device.
Examples relate to an apparatus for an optical imaging system. The apparatus comprises one or more processors and one or more storage devices. The apparatus is configured to receive sensor data of a sensor of the optical imaging system. The sensor data is received from the optical imaging system. The sensor data is indicative of a live view of the sample through microscope of the optical imaging system. Further, the apparatus is configured to determine predictive data indicative of a predicted view of the sample. The predicted data is determined based on the sensor data. Further, the apparatus is configured to determine auxiliary data indicative of auxiliary information for a user of the optical imaging system. The auxiliary data is determined based on the predictive data. The apparatus is further configured to transmit an auxiliary signal indicative of auxiliary data.
A61B 90/20 - Surgical microscopes characterised by non-optical aspects
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
A61B 90/50 - Supports for surgical instruments, e.g. articulated arms
A61B 17/00 - Surgical instruments, devices or methods
H04N 19/00 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
H04N 19/503 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
71.
A METHOD FOR CHARACTERIZING A SCANNING MIRROR IN A SCAN CONTROL SYSTEM TO DETEMINE CONTROL PARAMETERS, A SCAN CONTROL SYSTEM, AND AN OPTICAL COHERENCE TOMOGRAPHY (OCT) SYSTEM COMPRISING SAID SCAN CONTROL SYSTEM
Provided is a method for characterizing a scanning mirror in a scan control system to determine control parameters for use in a closed-loop feedback configuration of the scan control system. The system (100) comprising: a scanning mirror arrangement (102) comprising the scanning mirror (104); a position sensing detector (106) having a two- dimensional detection surface (108); a light source (110) configured to emit a light beam (112) onto the scanning mirror (104) such that the light beam (112) is deflected onto the position sensing detector (106), wherein the position sensing detector (106) is configured to output a measured position (114) based on the position at which the light beam (112) impinges on the two-dimensional detection surface (108) of the position sensing detector (106), the measured position (114) pertaining to a tilt angle (116) of the scanning mirror (104); a scan mirror controller (118) configured to drive, using drive parameters (120), the scanning mirror arrangement (102) such that the scanning mirror (104) is tilted in angle in two-dimensions; and a processor (122) communicatively connected to the scan mirror controller (118), wherein the scan mirror controller (118) is configured to receive a set of control parameters (126) for use in a closed-loop feedback configuration of the scan control system.
A computer-implemented method for manual focus adjustment of a microscope includes obtaining information about a manually adjusted focus relative to a sample in a microscope, determining information about a proposed focus for the sample, determining a difference between the adjusted focus and the proposed focus, and providing information about a signal to a user based on the determined difference.
A method, system, and computer program for processing images of an optical imaging device and for training one or more machine-learning models. A method for processing images of an optical imaging device comprises obtaining embeddings of a plurality of candidate molecules, obtaining, for each candidate molecule, one or more images of the optical imaging device, the one or more images showing a visual representation of a target property exhibited by the candidate molecule in a biological sample, processing, using a machine-learning model, for each candidate molecule, the one or more images and/or information derived from the one or more images to generate a predicted embedding of the candidate molecule. The machine-learning model is trained to output the predicted embedding for an input comprising the one or more images and/or the information derived from the one or more images.
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/778 - Active pattern-learning, e.g. online learning of image or video features
A system for imaging a sample is disclosed. The system comprises a light source, a movable mirror, a photodetector, a first control unit and a second control unit. The light source generating a light beam and directing the light beam to the movable mirror which then deflects the light beam onto the sample. The photodetector detects light reflected from the sample. The first control unit steers the movable mirror according to position coordinates. The second control unit generates a data packet comprising the position coordinates and sending the data packet to the first control unit. The second control unit also generates trigger signals for the photodetector, the trigger signals being configured to trigger the photodetector to capture images corresponding to each of the position coordinates of the movable mirror. The first control unit and the second control unit communicate over Ethernet such that synchronization between the steering of the movable mirror and the triggering of the photodetector is enabled.
A61B 3/00 - Apparatus for testing the eyesInstruments for examining the eyes
A61B 3/10 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions
75.
A METHOD FOR CHARACTERIZING A SCANNING MIRROR IN A SCAN CONTROL SYSTEM, A SCAN CONTROL SYSTEM, AND AN OPTICAL COHERENCE TOMOGRAPHY (OCT) SYSTEM COMPRISING SAID SCAN CONTROL SYSTEM
Provided is a method for characterizing a scanning mirror in a scan control system to determine feedback parameters for a scanning mirror to be used in a closed-loop feedback configuration of the scan control system. The system (100) comprising: a scanning mirror arrangement (102) comprising the scanning mirror (104); a position sensing detector (106) having a two-dimensional detection surface (108); a light source (110) configured to emit a light beam (112) onto the scanning mirror (104) such that the light beam (112) is deflected onto the position sensing detector (106), wherein the position sensing detector (106) is configured to output a measured position (114) based on the position at which the light beam (112) impinges on the two-dimensional detection surface (108) of the position sensing detector (106), the measured position (114) pertaining to a tilt angle (116) of the scanning mirror (104); a scan mirror controller (118) configured to drive, using drive parameters (120), the scanning mirror arrangement (102) such that the scanning mirror (104) is tilted in angle in two-dimensions; a processor (122) communicatively connected to the scan mirror controller (118) and a memory (123); wherein in the memory (123) comprises at least one of position deviation values (130) and a set of compensated positions (136) for use as feedback parameters for close-loop position feedback (138) in the closed-loop feedback configuration of the scan control system (100), the set of compensated positions (136) pertaining to a determined (208) a set of position deviation values (130) obtained for a set of measured positions (128) relative to a set of reference positions (132).
G01B 21/04 - Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness by measuring coordinates of points
G02B 26/12 - Scanning systems using multifaceted mirrors
76.
SUPPORTER FOR SEQUENCING TARGET NUCLEIC ACID STRANDS
A supporter (104) for sequencing a target nucleic acid strand (100) of a biological sample (102) comprises an amplification structure configured for clonal amplification of a template nucleic acid strand (640) formed from at least a portion of the target nucleic acid (100) itself or from a nucleic acid strand complementary thereto, wherein the amplification structure is formed from a nanoscale scaffold (108) sized for in-situ clonal amplification of the template nucleic acid strand (640) within the biological sample (102).
A data processing apparatus for processing a digital input image is configured to receive the digital input image. The digital input image includes input photon arrival-time data at input image locations. The data processing apparatus is further configured to compute a digital output image based on the digital input image by deconvolution. The digital output image includes output photon arrival-time data at output image locations. The output photon arrival-time data represent an estimate of an unblurred ground-truth of the input photon arrival-time data. The data processing apparatus is further configured to compute the deconvolution by an iterative algorithm using an update function. The update function depends on a point-spread function, a previous estimate of the ground-truth, and the input photon arrival-time data.
A highly dispersive single-mode optical fibre comprising drawn bulk optical glass. The optical fibre may be configured as an optical fibre in a reference arm of an interferometer in some embodiments. This may assist with the depth to which B and volumetric scans can be resolved to in live OCT scan streaming, for example by allowing faster techniques to be used for complex conjugate resolution of the scan images. The highly dispersive single-mode optical fibre may be used in a reference paths (103) or scanning path (105) of an OCT system (100).
A calibration object for calibrating an imaging system includes a discrete entity with a calibration pattern. The discrete entity is made of at least one transparent polymeric compound.
A processor for lifetime-based unmixing in fluorescence microscopy is configured to acquire an image having a plurality of pixels, each pixel providing information on photon count and photon arrival times, generate a phasor plot that is a vector space representation of the image, partition the image into image segments, evaluate the image segments according to total photon counts of the corresponding subsets of pixels, and execute a lifetime classification by selecting an image segment having a largest total photon count, determining a region of interest in the image encompassing the image segment, determining a phasor subset in the phasor plot corresponding to the region of interest, and generating a lifetime class including a set of image segments corresponding to the phasor subset. A plurality of lifetime classes is generated by iteratively executing the lifetime classification. The processor is configured to perform lifetime-based unmixing using the life-time classes.
A scanning mirror system (310, 1100) comprising a MEMS scanning mirror assembly (310), the scanning mirror assembly comprising a reflective surface (334), wherein the scanning mirror assembly is configured to reflect a primary light beam in a first optical plane, the reflected primary light beam (312) forming a scanning beam (312), reflect a secondary light beam (400) in a second optical plane, the reflected secondary light beam forming a mirror position reference beam (402); and a position sensitive detector (160), wherein after reflection by the reflective surface (334), the mirror position reference beam (402) is incident on the PSD (160), and the PSD (160) is configured to detect the position of incidence of the mirror position reference beam (402), and wherein any stray light returned from the PSD (160) towards the reflective surface (334) is reflected by the reflective surface (334) in a third optical plane different from the first and second optical planes.
A61B 3/107 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for determining the shape or measuring the curvature of the cornea
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G02B 26/08 - Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
A scanning mirror system (1100) comprises a MEMS scanning mirror assembly (310), the MEMS scanning mirror assembly comprising a reflective surface (334) configured to reflect light from two different light sources. One light source (308a) is a source for a primary beam (312) which after reflection by the reflective surface forms a probe beam. The other light source (158, 502) being a light source for a secondary light beam (400) which, after reflection by the reflective surface (334) forms a mirror position reference beam (402). The system (1100) also comprises a position sensitive detector, PSD (160) configured to detect incident light of the mirror position reference beam (402), wherein the PDS (160) is configured to generate an feedback signal (1704) indicative of where the mirror position reference beam (402) is incident on the position sensitive detector (160) and send the feedback signal (1704) to a controller (1700). The controller is configured to be responsive to a beam direction input signal and the feedback signal, and generate a drive signal. The scanning mirror system also comprises a mirror mover mechanism (1708) configured to be controlled by the drive signal (1706) from the controller (1700), to adjust the position of the MEMS mirror reflective surface (334) to control the direction of the probe beam.
A61B 3/10 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions
G02B 26/08 - Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
An optical coherence tomography, OCT, adapter (206) configured to be under- mounted to a microscope (200), the OCT adapter (206) comprising: a housing (208) configured with a mounting mechanism for engaging with an under-carriage of the microscope (200) and a plurality of optical components (210, 310, 330, 316, 318) contained in the housing (200), wherein at least the plurality of optical components defining an optical path for a OCT probe beam (312) which emerges from the housing collinear with an optical channel of the microscope, wherein the optical components are configured such that the housing (208) of the OCT adapter (206), when fixed to an undercarriage of the microscope (200), increases a height, h2, of the microscope by less than 40mm.
A61B 3/107 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for determining the shape or measuring the curvature of the cornea
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
84.
COMPACT MEMS TWO-DIMENSIONAL MEMS SCANNING MIRROR ASSEMBLY DESIGN AND RELATED ASPECTS
A micro-electro-mechanical system, MEMS, two-dimensional scanning mirror assembly (310), the scanning mirror assembly having an optical design comprising a moveable MEMS scanning mirror having a reflective surface (334), a point light source (308a) for a light beam, a collimating lens assembly (516) configured to receive light from the light source and output a collimated light beam with an exit beam diameter above a threshold towards the reflective surface (334), and an objective lens assembly (510, 512) via which a collimated light beam reflected from the reflective surface exists the scanning mirror assembly. The reflective surface (334) is configured to reflect an incident collimated light beam to form a probe beam (312) which exits the mirror assembly as a telecentric beam (312) towards a telecentric image plane with a resolution better than a threshold for the telecentric beam resolution. The optics of the scanning mirror assembly are configured to provide a total track length, L, from the point light source to the telecentric image plane (700) less than 40mm.
G02B 26/08 - Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
A computer-implemented image processing method for removing complex conjugate image data from image data in real-time using dispersion comprising receiving an image signal comprising image data including complex conjugate image data (902), performing baseline signal subtraction (906), resampling wavelength data to generate linear wavenumber image data (908, 910), processing the linear wavenumber image data to generate a complex conjugate resolved, CCR, result using at least one iteration of a CCR image processing algorithm (912), and computing a CCR image from the CCR result (914); and separating the resulting CCR image from the received OCT image data to remove the complex conjugate image data. The method may be performed in real-time and may use phase or magnitude data or a synthesis of the two when generating the image data from the CCR result.
A highly dispersive single-mode hybrid optical fibre (1900) located in one of a reference arm or a probe arm of an optical interferometer, the hybrid fibre (1900) comprising at least two optical fibres (1902, 1902), at least one of the at least two optical fibres having a different core diameter and different dispersive characteristics to at least one other optical fibre of the at least two optical fibres, wherein the at least two optical fibres are end-to-end fused to form a hybrid optical fibre, and wherein each one of the at least two optical fibres has a length based on the core diameter of that optical fibre relative to a central wavelength of a light beam passing through the hybrid optical fibre and a target GDD per unit length based on the target length of the hybrid optical fibre, wherein the hybrid optical fibre adds an additional GDD value compared to an optical fibre in the other one of the reference arm or probe arm of the optical interferometer.
H04B 10/2525 - Arrangements specific to fibre transmission for the reduction or elimination of distortion or dispersion due to chromatic dispersion using dispersion-compensating fibres
A61B 3/10 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G06T 7/521 - Depth or shape recovery from laser ranging, e.g. using interferometryDepth or shape recovery from the projection of structured light
An apparatus for data processing for a digital imaging device is provided. The digital imaging device is configured to generate a digital image of a recording region by reading out, raster-element-by-raster-element, a multidimensional complete raster. The complete raster includes a plurality of raster elements. The apparatus is part of a control unit of the imaging device or is configured to be controllable by the control unit of the imaging device. The apparatus is configured to process raw image data from at least one sub-region of the complete raster that has already been read out during the reading out, generate processed image data in at least one processing step as a function of the raw image data, and make the processed image data available for display for access from outside the apparatus.
A computer system for displaying sample images includes one or more processors configured to receive at least one sample image, each of the at least one sample images having been obtained by imaging a sample located in or on a sample holder using a microscope according to an imaging process; receive or generate spatial context information regarding the at least one sample image, the spatial context information having reference to the imaging process for obtaining the at least one sample image; and control a display to display the at least one sample image on the display based on the spatial context information regarding the at least one sample images.
G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes
G06F 3/04842 - Selection of displayed objects or displayed text elements
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
90.
METHODS, SYSTEMS, AND COMPUTER PROGRAMS FOR ADJUSTING A FIRST AND A SECOND MACHINE-LEARNING MODEL AND FOR PRO-CESSING A SET OF IMAGES, IMAGING SYSTEM
Examples relate to method, system, and computer program for adjusting a first and a second machine-learning model, for processing a set of images, and to an imaging system. The method for adjusting a first and a second machine-learning model, comprises inputting a set of images representing a biological process into the first machine-learning model, it being trained to perform an image analysis workflow or to generate parameters for parametrizing an image analysis workflow. Then inputting an output of the image analysis workflow into the second machine-learning model, it being trained to output a prediction of a hypothesis being evaluated using the biological process. The method comprises calculating a loss function based on a difference between the prediction and an actual hypothesis being evaluated using the biological process. Then the first and/or second machine-learning model is adjusted based on the result of the loss function.
G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
G06V 10/778 - Active pattern-learning, e.g. online learning of image or video features
G06V 10/86 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognitionArrangements for image or video recognition or understanding using pattern recognition or machine learning using graph matching
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
An affinity reagent for reversibly binding to a molecular target includes a guest-modified aptamer. The guest-modified aptamer includes at least one guest molecule adapted for complex formation with at least one host molecule. The guest-modified aptamer is structurally alterable by the complex formation to either associate with or dissociate from the molecular target.
A confocal microscope includes an illumination unit configured to generate an illumination light bundle, an imaging optics configured to receive detection light, a scanner configured to deflect the illumination light bundle to generate a scanning illumination and to direct the detection light into a detection beam path, a sensor disposed in the detection beam path, a pinhole diaphragm arranged in the detection beam path upstream of the sensor, an adjustable light deflector arranged in the detection beam path and configured to direct the detection light through the pinhole diaphragm onto the sensor, and a controller configured to control the scanner to adjust the confocal microscope in such a manner that the illumination light bundle is directed onto a test object, and control the light deflector in such a manner that an intensity of the detection light coming from the test object, as detected by the sensor, is optimized.
09 - Scientific and electric apparatus and instruments
Goods & Services
Microscopes; CMOS cameras; microscopic software; Software, for use in relation to the following goods: CMOS cameras; parts and Accessories, for use in relation to the following goods: Microscopes and CMOS cameras.
94.
METHOD FOR ANALYZING A BIOLOGICAL SAMPLE OR A CHEMICAL COMPOUND OR A CHEMICAL ELEMENT
A method for analyzing a sample is provided. The sample includes a plurality of affinity reagents, at least one of the affinity reagents being attached to an analyte, and a first plurality of combinations of dyes. Each combination of dyes includes at least two dyes having different characteristics for at least one of excitation or emission. Each one of the unique combinations of dyes is attached to an associated affinity reagent of the plurality of affinity reagents according to a first mapping. The method includes directing excitation light at the sample, the excitation light having characteristics for exciting at least one of the at least two dyes having different characteristics, generating at least one first readout from emission light emitted by the excited dyes, and determining, by at least one computer processor, at least one affinity reagent present in the sample based on the at least one first readout.
G01N 33/542 - ImmunoassayBiospecific binding assayMaterials therefor with immune complex formed in liquid phase with steric inhibition or signal modification, e.g. fluorescent quenching
A marker for marking a predetermined structure within a biological sample includes a marker base having an affinity reagent, and an attachment structure connected to the affinity reagent having two attachment sites. The attachment structure includes a cleavage site arranged between the attachment sites. The attachment structure is capable of being cut at the cleavage site by a cleaving agent in order to remove an attachment site from the marker base. The marker further includes at least two reporters. Each reporter includes a linker structure having a complementary attachment site configured to attach to one of the attachment sites, and a combination of at least two different fluorescent dyes. The combination of the at least two different fluorescent dyes is unique for each reporter. The complementary attachment site is unique for each reporter and configured such that each reporter attaches to a different attachment site of the marker base.
A device for generating a composite image of a sample includes an illumination unit configured to generate illumination light for illuminating the sample, and an image capture unit configured to generate a first individual image of the sample and a second individual image of the sample.
A device for generating a composite image of a sample includes an illumination unit configured to generate illumination light for illuminating the sample, and an image capture unit configured to generate a first individual image of the sample and a second individual image of the sample.
The first individual image corresponds to a first sample region. The second individual image corresponds to a second sample region that is different from the first sample region and overlaps with the first sample region in an overlap region. The device further includes a control unit configured to control the illumination unit in such a way that, when generating each of the first individual image and the second individual image, at least the overlap region is illuminated with a lower intensity of the illumination light than a remaining portion of the first sample region and a remaining portion of the second sample region.
A method for imaging a biological sample includes the steps of dividing the biological sample into a plurality of sample parts, wherein each sample part has a sphericity of at least 0.4 and has a volume in the range of 1000 μm3 to 27 mm3; embedding each of at least some of the plurality of sample parts into a discrete entity; and imaging the embedded sample parts.
A method for analyzing a biological sample (1002) comprises: Providing a plurality of markers (1612), each marker (1300 to 1309, 1400 to 1422, 1500 to 1508, 1518, 1526) comprising a fluorescent dye (1320) unique to the marker (1300 to 1309, 1400 to 1422, 1500 to 1508, 1518, 1526) and an affinity reagent (1310 to 1319) unique to the marker (1300 to 1309, 1400 to 1422, 1500 to 1508, 1518, 1526), the affinity reagent (1310 to 1319) being configured to attach to a predetermined structure (1706 to 1714) within the sample (1002). Staining the sample (1002) by introducing the plurality (1612) of markers into the sample (1002). Directing first excitation light having a first wavelength spectrum onto the sample (1002) in order to excite the fluorescent dyes (1320) of a first set of markers (1614). Generating at least one first image from fluorescence light emitted by the excited dyes of the first set (1614), the first image comprising at least two channels, each channel corresponding to one marker (1300 to 1309, 1400 to 1422, 1500 to 1508, 1518, 1526) of the first set of markers (1614). Directing at least one second excitation light having a second wavelength spectrum onto the sample (1002) in order to excite the fluorescent dyes (1320) of a second set of markers (1616), the second set (1616) being distinct from the first set (1614). Generating at least one second image from fluorescence light emitted by the excited dyes of the second set (1616), the second image comprising at least two channels, each channel corresponding to one marker (1300 to 1309, 1400 to 1422, 1500 to 1508, 1518, 1526) of the second set of markers (1616).
A marker for marking a predetermined structure within a biological sample includes an affinity reagent configured to attach to the predetermined structure, a linker structure attached to the affinity reagent and extending from the affinity reagent, and at least two different fluorescent dyes arranged at the linker structure. The linker structure includes at least one cleavage site arranged between the two fluorescent dyes or between one of the fluorescent dyes and the linker structure. The linker structure is capable of being cut at the cleavage site by a cleaving agent in order to remove at least one of the fluorescent dyes from the marker.
09 - Scientific and electric apparatus and instruments
Goods & Services
Biological microscopes; Biomicroscopes; Fluorescence microscopes; Microscopes; Downloadable and recorded computer programmes for image processing; Downloadable and recorded computer application software for operating microscopes and image analysis; Downloadable and recorded data and file management and database management software; Downloadable and recorded computer software for operating microscopes; Downloadable and recorded software for image analysis
