A method for enhancing gating performance of a cell sorter to prepare an enriched specimen for optical tomography cell analysis includes introducing a specimen into a FACS to generate 2D event data; generating a first scatterplot of the 2D data; identifying target objects; constructing a boundary within the first scatterplot to produce a first gate; counting target objects within the first gate; comparing the number of target objects within the first gate to a first predetermined value and adjusting the first gate as necessary. A boundary around a set of target objects is constructed in a second scatterplot to produce a subset second gate and target objects within the second gate are counted and the count compared to a second predetermined value. When a boundary around target objects meets specifications the first and second gates are stored in memory and used to enrich patient specimens.
G01N 33/574 - ImmunoassayBiospecific binding assayMaterials therefor for cancer
B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 33/533 - Production of labelled immunochemicals with fluorescent label
G01N 33/554 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals the carrier being a biological cell or cell fragment, e.g. bacteria, yeast cells
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Medical apparatus and instrument for diagnostic use, namely, apparatus for medical diagnostic testing in the fields of cancer or other tissue-based diagnostic testing, cytology and cell-based testing; Medical diagnostic apparatus for detecting cancer; Medical diagnostic apparatus for testing sputum samples Medical diagnostic services; Providing a website featuring information in the field of the diagnosis and treatment of lung cancer
7.
MORPHOMETRIC GENOTYPING OF CELLS USING OPTICAL TOMOGRAPHY FOR DETECTING TUMOR MUTATIONAL BURDEN
A method to develop one or more morphometric classifiers to identify a tumor mutation burden (TMB). The method provides a non-invasive method of characterizing TMB that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.
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 method for enhancing gating performance of a cell sorter to prepare an enriched specimen for optical tomography cell analysis includes introducing a specimen into a FACS to generate 2D event data; generating a first scatterplot of the 2D data; identifying target objects; constructing a boundary within the first scatterplot to produce a first gate; counting target objects within the first gate; comparing the number of target objects within the first gate to a first predetermined value and adjusting the first gate as necessary. A boundary around a set of target objects is constructed in a second scatterplot to produce a subset second gate and target objects within the second gate are counted and the count compared to a second predetermined value. When a boundary around target objects meets specifications the first and second gates are stored in memory and used to enrich patient specimens.
G01N 33/574 - ImmunoassayBiospecific binding assayMaterials therefor for cancer
B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 33/533 - Production of labelled immunochemicals with fluorescent label
G01N 33/554 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals the carrier being a biological cell or cell fragment, e.g. bacteria, yeast cells
Medical apparatus and instrument for diagnostic use, namely, apparatus for medical diagnostic technology testing in the field of cancer; Medical diagnostic apparatus for testing cancer cells
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Medical diagnostic services, namely collecting non-intrusive samples via at-home test kits that are returned by consumers, performing automated 3D cell imaging of the collected samples, and utilizing artificial intelligence to identify and classify cells to determine whether abnormal cells that are associated with a risk of cancer are present in the collected and analyzed samples
A cell classification system includes an optical tomography system and a processor operable to generate a plurality of 2D images and a plurality of pseudo-projection images of a cell. The processor executes instructions that cause the processor to: generate a 3D image of the cell using the pseudo-projection images; apply digital enhancement to a 2D or 3D image to improve determination of boundaries of structures with the cell that provide indicia of cell features; analyze at least one of the cell features or 2D or 3D images using AI-based cell characterization to characterize the cell as normal or as having abnormal features by analyzing the boundaries of structures; create a Normal Cell Gallery comprising images characterized by AI-based characterization as normal; create a Diagnostic Cell Gallery with images characterized by AI-based characterization as having abnormal features; display at least the Diagnostic Cell Gallery; and record a user classification.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 33/483 - Physical analysis of biological material
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
The present disclosure provides a system and method for AI-based cell classification of cells from a patient sample to determine if cells indicative of lung cancer are present. In the system and method, 2D imaging is used to eliminate cells not likely to be indicative of lung cancer from subsequent 3D imaging, while 3D imaging is conducted for cells likely to be indicative of lung cancer. The present disclosure further provides a method of training 2D cell classifiers for use in the system and method for AI-based cell classification.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
14.
Specimen enrichment for optical tomography cell analysis
A method for enhancing gating performance of a cell sorter to prepare an enriched specimen for optical tomography cell analysis includes introducing a specimen into a FACS to generate 2D event data; generating a first scatterplot of the 2D data; identifying target objects; constructing a boundary within the first scatterplot to produce a first gate; counting target objects within the first gate; comparing the number of target objects within the first gate to a first predetermined value and adjusting the first gate as necessary. A boundary around a set of target objects is constructed in a second scatterplot to produce a subset second gate and target objects within the second gate are counted and the count compared to a second predetermined value. When a boundary around target objects meets specifications the first and second gates are stored in memory and used to enrich patient specimens.
G01N 33/554 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals the carrier being a biological cell or cell fragment, e.g. bacteria, yeast cells
G01N 33/574 - ImmunoassayBiospecific binding assayMaterials therefor for cancer
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 15/149 - Optical investigation techniques, e.g. flow cytometry specially adapted for sorting particles, e.g. by their size or optical properties
The present disclosure provides a system and method for AI-based cell classification of cells from a patient sample to determine if cells indicative of lung cancer are present. In the system and method, 2D imaging is used to eliminate cells not likely to be indicative of lung cancer from subsequent 3D imaging, while 3D imaging is conducted for cells likely to be indicative of lung cancer. The present disclosure further provides a method of training 2D cell classifiers for use in the system and method for AI-based cell classification.
A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.
G06V 10/40 - Extraction of image or video features
G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
17.
Morphometric genotyping of cells in liquid biopsy using optical tomography
A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.
A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.
A method to develop one or more morphometric classifiers to identify a mismatch repair deficiency (MMRD). The method provides a non-invasive method of characterizing MMRD that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.
G01N 33/48 - Biological material, e.g. blood, urineHaemocytometers
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
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
21.
Morphometric detection of malignancy associated change
A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.
A method to develop one or more morphometric classifiers to identify a tumor mutation burden (TMB). The method provides a non-invasive method of characterizing TMB that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.
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 method to develop one or more morphometric classifiers to identify a mismatch repair deficiency (MMRD). The method provides a non-invasive method of characterizing MMRD that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.
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
25.
MORPHOMETRIC DETECTION OF MALIGNANCY ASSOCIATED CHANGE
A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.
G01N 31/00 - Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroupsApparatus specially adapted for such methods
G01N 33/483 - Physical analysis of biological material
A method to develop one or more morphometric classifiers to identify a tumor mutation burden (TMB). The method provides a non-invasive method of characterizing TMB that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.
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
27.
Method and apparatus for pre-positioning a radially symmetric, coaxial sample within a sheath fluid to provide uniform sample delivery rate during flow
A method for pre-positioning a coaxial sample and sheath combination includes calculating a load shape profile including a plurality of layers of substantially equal volume. The calculated load shape profile is incrementally divided into cross-sectional slices at a first set of distance coordinates along a first axis. Each cross-sectional slice transects the plurality of layers. A sample includes a number of objects residing in solution. A sample chamber is loaded with the sample by incrementally dispensing the sample in a plurality of portions along a vertical axis divided into a second set of distance coordinates proportional to the first set of distance coordinates, where each portion has a volume proportional to the cross-sectional slice at the first distance coordinate nearest in value to the second distance coordinate.
G01N 1/10 - Devices for withdrawing samples in the liquid or fluent state
G01N 35/10 - Devices for transferring samples to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 21/01 - Arrangements or apparatus for facilitating the optical investigation
G01N 21/17 - Systems in which incident light is modified in accordance with the properties of the material investigated
G01N 33/487 - Physical analysis of biological material of liquid biological material
28.
METHOD AND APPARATUS FOR PRE-POSITIONING A STATIC, RADIALLY SYMETRIC, COAXIAL SAMPLE AND SHEATH COMBINATION TO PROVIDE UNIFORM SAMPLE DELIVERY DURING FLOW
A method for pre-positioning a coaxial sample and sheath combination includes calculating a load shape profile including a plurality of layers of substantially equal volume. The calculated load shape profile is incrementally divided into cross-sectional slices at a first set of distance coordinates along a first axis. Each cross-sectional slice transects the plurality of layers. A sample includes a number of objects residing in solution. A sample chamber is loaded with the sample by incrementally dispensing the sample in a plurality of portions along a vertical axis divided into a second set of distance coordinates proportional to the first set of distance coordinates, where each portion has a volume proportional to the cross-sectional slice at the first distance coordinate nearest in value to the second distance coordinate.
G01B 5/06 - Measuring arrangements characterised by the use of mechanical techniques for measuring length, width, or thickness for measuring thickness
G01F 15/00 - Details of, or accessories for, apparatus of groups insofar as such details or appliances are not adapted to particular types of such apparatus
G01N 29/22 - Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic wavesVisualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object Details
G05B 6/02 - Internal feedback arrangements for obtaining particular characteristics, e.g. proportional, integral or differential electric
G05B 17/02 - Systems involving the use of models or simulators of said systems electric
H01R 9/05 - Connectors arranged to contact a plurality of the conductors of a multiconductor cable for coaxial cables
29.
MORPHOMETRIC GENOTYPING OF CELLS IN LIQUID BIOPSY USING OPTICAL TOMOGRAPHY
A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.
G01N 33/487 - Physical analysis of biological material of liquid biological material
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 23/046 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
A method for measuring microscopic object velocities in fluid flow in a capillary tube including scanning a microscope focal plane through a fluid filled space for objects, where the scanning follows an interrupted repeating pattern having sub-patterns where the sub-patterns position the microscope focus plane beginning at a selected focus position at a first time and ending at the selected focus position at a later second time. A sensor registers images in image frames during the scanning. A first object image is registered in a first image frame at the selected focus position and a second object image is registered in a second image frame at the selected focus position. The object in the first object image and the second object image are identified as the same object. A processor determines a velocity for the identified object.
A method for measuring microscopic object velocities in fluid flow in a capillary tube including scanning a microscope focal plane through a fluid filled space for objects, where the scanning follows an interrupted repeating pattern having sub-patterns where the sub-patterns position the microscope focus plane beginning at a selected focus position at a first time and ending at the selected focus position at a later second time. A sensor registers images in image frames during the scanning. A first object image is registered in a first image frame at the selected focus position and a second object image is registered in a second image frame at the selected focus position. The object in the first object image and the second object image are identified as the same object. A processor determines a velocity for the identified object.
A method for automated detection, monitoring and treatment of dysplasia by analyzing 3D reconstructed images of cells obtained from a specimen includes a biological specimen classifier that classifies cells from the sputum specimen as normal or abnormal. If abnormal cells are detected, then the abnormal cells are further classified as pre-cancerous or cancerous. Pre-cancerous cells are further sub-classified as being of glandular origin or squamous origin (dysplastic cells). This information would be used to define patient therapy so that if the cells are classified as dysplastic, then a cancer chemoprevention pharmaceutical like iloprost is administered to the subject over a predetermined time period to achieve a therapeutic dosage, and if only malignant cells were found or malignant and pre-cancerous cells were found, then next steps would involve patient triage to biopsy and surgery and possibly use of a cancer chemoprevention pharmaceutical.
A method of treating a malignancy in a human subject by analyzing pseudo-projection images of cells obtained from a sputum specimen obtained from a subject employs a biological specimen classifier that identifies cells from the sputum specimen as normal or abnormal. If abnormal cells are detected, then the abnormal cells are further classified as dysplastic or cancerous. If the cells are classified as dysplastic, then an immunomodulating agent is administered to the subject over a predetermined time period designed to achieve a therapeutic dosage.
A61K 31/167 - Amides, e.g. hydroxamic acids having aromatic rings, e.g. colchicine, atenolol, progabide having the nitrogen atom of a carboxamide group directly attached to the aromatic ring, e.g. lidocaine, paracetamol
A cytological analysis test for 3D cell classification from a specimen. The method includes isolating and preserving a cell from the specimen and enriching the cell before embedding the enriched cell into an optical medium. The embedded cell is injected into a capillary tube where pressure is applied until the cell appears in a field of view of a pseudo-projection viewing subsystem to acquire a pseudo-projection image. The capillary tube rotates about a tube axis to provide a set of pseudo-projection images for each embedded cell which are reconstructed to produce a set of 3D cell reconstructions. Reference cells are classified and enumerated and a second cell classifier detects target cells. An adequacy classifier compares the number of reference cells against a threshold value of enumerated reference cells to determine specimen adequacy.
A cytological analysis test for 3D cell classification from a specimen. The method includes isolating and preserving cells from the specimen and enriching the cells before embedding the enriched cells into an optical medium. The embedded cells are injected into a capillary tube where pressure is applied until a cell appears in a field of view of a pseudo-projection viewing subsystem to acquire a pseudo-projection image. The capillary tube rotates about a tube axis to provide a set of pseudo-projection images for each embedded cell which are reconstructed to produce a set of 3D cell reconstructions. Reference cells are classified and enumerated and a second cell classifier detects target cells. An adequacy classifier compares the number of reference cells against a threshold value of enumerated reference cells to determine specimen adequacy.
A method for 3D imaging of cells in an optical tomography system includes moving a biological object relatively to a microscope objective to present varying angles of view. The biological object is illuminated with radiation having a spectral bandwidth limited to wavelengths between 150 nm and 390 nm. Radiation transmitted through the biological object and the microscope objective is sensed with a camera from a plurality of differing view angles. A plurality of pseudoprojections of the biological object from the sensed radiation is formed and the plurality of pseudoprojections is reconstructed to form a 3D image of the cell.
A method for 3D imaging of a biologic object (1) in an optical tomography system where a subcellular structure of a biological object (1) is labeled by introducing at least one nanoparticle-biomarker. The labeled biological object (1) is moved relatively to a microscope objective (62) to present varying angles of view and the labeled biological object (1) is illuminated with radiation having wavelengths between 150 nm and 900 nm. Radiation transmitted through the labeled biological object (1) and the microscope objective (62) within at least one wavelength bands is sensed with a color camera, or with a set of at least four monochrome cameras. A plurality of cross-sectional images of the biological object (1) from the sensed radiation is formed and reconstructed to make a 3D image of the labeled biological object (1).
An optical tomography system includes a light field microscope including an objective lens, a computer-controlled light source, a condenser lens assembly and a microlens array aligned along an optical axis. A carrier containing a specimen is coupled to a rotational driver for presenting varying angles of view of the specimen. A photosensor array disposed to receive photons from the objective lens. A computer is linked to control the computer-controlled light source and condenser lens assembly and the rotational driver, and coupled to receive images from the photosensor array where the light field microscope simultaneously captures a continuum of focal planes in the specimen for each of a set of the varying angles of view of the specimen.
G01N 21/17 - Systems in which incident light is modified in accordance with the properties of the material investigated
G01N 23/04 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material
An optical tomography system for viewing an object of interest includes a microcapillary tube viewing area for positioning the object of interest in an optical path including a detector. A motor is located to attach to and rotate a microcapillary tube. A device is arranged for transmitting broadband light having wavelengths between 550 nm and 620 nm into the microcapillary tube viewing area. A hyperchromatic lens is located to receive light transmitted through the microcapillary tube viewing area. A tube lens is located to focus light rays transmitted through the hyperchromatic lens, such that light rays from multiple object planes in the microcapillary tube viewing area simultaneously focus on the at least one detector.
A system and method for detecting poor quality images in an optical tomography system includes an acquisition apparatus for acquiring a set of pseudo-projection images of an object having a center of mass, where each of the set of pseudo-projection images is acquired at a different angle of view. A reconstruction apparatus is coupled to receive the pseudo-projection images, for reconstruction of the pseudo-projection images into 3D reconstruction images. A quality apparatus is coupled to receive the 3D reconstruction images and operates to detect of selected features that characterize poor quality reconstructions.
A system and method for detecting poor quality images in an optical tomography system includes an acquisition apparatus (25) for acquiring a set of pseudo-projection images (22) of an object (15) having a center of mass, where each of the set of pseudo-projection images (22) is acquired at a different angle of view. A reconstruction apparatus (35) is coupled to receive the pseudo-projection images (22), for reconstruction of the pseudo-projection images (22) into 3D reconstruction images. A quality apparatus (36) is coupled to receive the 3D reconstruction images and operates to detect of selected features that characterize poor quality reconstructions.
Correcting pattern noise projection images includes acquiring a set of projection images (22A) with an optical tomography system including a processor, where each of the set of projection images (22A) is acquired at a different angle of view. A threshold (104) is applied to each projection image produce a set of threshold images. Each threshold image may optionally be dilated (106) to produce a set of dilated images that are summed to form an ensemble image (114). Each of the dilated images is processed to produce a set of binary images (108). The set of binary images are summed to form an ensemble mask (116). The ensemble image is divided by the ensemble mask (116) to yield a background pattern noise image (118). Each projection image is multiplied by a scaling factor and divided by the background pattern noise (120) to produce a quotient image that is filtered (122) to produce a noise corrected projection image (124).
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
An object of interest is illuminated within the field of view of a microscope objective lens (10) located to receive light passing through the object of interest. Light transmitted through the microscope objective lens (10) impinges upon a variable power element (33). The variable power element (33) is driven with respect to the microscope objective lens (10) to scan through multiple focal planes in the object of interest. Light transmitted from the variable power element (33) is sensed by a sensing element or array (30).
G01B 11/24 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
G01N 33/483 - Physical analysis of biological material
B81B 7/02 - Microstructural systems containing distinct electrical or optical devices of particular relevance for their function, e.g. microelectro-mechanical systems [MEMS]
G01N 21/00 - Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
44.
FUNCTIONAL IMAGING OF CELLS OPTICAL PROJECTION TOMOGRAPHY
A method for 3D imaging of a biologic object (1 ) in an optical tomography system where a subcellular structure of a biological object (1 ) is labeled by introducing at least one nanoparticle-biomarker. The labeled biological object (1 ) is moved relatively to a microscope objective (62) to present varying angles of view and the labeled biological object (1 ) is illuminated with radiation having wavelengths between 150 nm and 900 nm. Radiation transmitted through the labeled biological object (1 ) and the microscope objective (62) within at least one wavelength bands is sensed with a color camera, or with a set of at least four monochrome cameras. A plurality of cross-sectional images of the biological object (1 ) from the sensed radiation is formed and reconstructed to make a 3D image of the labeled biological object (1 ).
G01N 21/17 - Systems in which incident light is modified in accordance with the properties of the material investigated
A61B 10/00 - Instruments for taking body samples for diagnostic purposesOther methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determinationThroat striking implements
G01N 33/483 - Physical analysis of biological material
A method for 3D imaging of cells in an optical tomography system (11) includes moving a biological object (1) relatively to a microscope objective (18) to present varying angles of view. The biological object (1) is illuminated with radiation having a spectral bandwidth limited to wavelengths between 150 nm and 390 nm. Radiation transmitted through the biological object (1) and the microscope objective (18) is sensed with a camera (48) from a plurality of differing view angles. A plurality of pseudoprojections of the biological object (1) from the sensed radiation is formed and the plurality of pseudoprojections is reconstructed to form a 3D image of the cell.
G01B 11/24 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
G01N 21/00 - Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
G01B 15/04 - Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons for measuring contours or curvatures
G01N 23/00 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or
An optical projection tomography system is illuminated with a light source (130). An object-containing tube (107), a portion of which is located within the region illuminated by the light source (130), contains an object of interest (114) that has a feature of interest. A detector (112) is located to receive emerging radiation from the object of interest (114). A lens (103), including optical field extension elements (1), is located in the optical path between the object region and the detector (104), such that light rays (130) from multiple object planes (Zn) in the object-containing tube (107) simultaneously focus on the detector (104). The object-containing tube (107) moves relatively to the detector (104) and the lens (103) operate to provide multiple views of the object region for producing an image of the feature of interest at each view.
G02F 1/01 - Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulatingNon-linear optics for the control of the intensity, phase, polarisation or colour
An optical projection tomography system is illuminated with a light source. An object-containing tube, a portion of which is located within the region illuminated by the light source, contains an object of interest that has a feature of interest. A detector is located to receive emerging radiation from the object of interest. A lens, including optical field extension elements, is located in the optical path between the object region and the detector, such that light rays from multiple object planes in the object-containing tube simultaneously focus on the detector. The object-containing tube moves relatively to the detector and the lens operate to provide multiple views of the object region for producing an image of the feature of interest at each view.
A set of pseudo-projection images of an object (1) is acquired (1006). Error corrections (1008) are applied to the set of pseudo-projection images to produce a set of corrected pseudo-projection images. The set of corrected pseudo-projection images are processed to produce (3D) tomographic images (1022).
09 - Scientific and electric apparatus and instruments
Goods & Services
Sputum collection supplies for lung cancer screening,
namely, a kit consisting primarily of laboratory centrifuge
tubes for collecting sputum samples for lung cancer early
detection screening and specimen transport bags specially
adapted for laboratory use therewith.
50.
Method for image processing and reconstruction of images for optical tomography
A method for reconstructing three-dimensional (3D) tomographic images. A set of pseudo-projection images of an object is acquired. Error corrections are applied to the set of pseudo-projection images to produce a set of corrected pseudo-projection images. The set of corrected pseudo-projection images are processed to produce (3D) tomographic images.
09 - Scientific and electric apparatus and instruments
Goods & Services
Sputum collection supplies for lung cancer screening,
namely, a kit consisting primarily of laboratory centrifuge
tubes for collecting sputum samples for lung cancer early
detection screening and specimen transport bags specially
adapted for laboratory use therewith.
52.
Fluid focusing for positional control of a specimen for 3-D imaging
A method for loading a sample for imaging by an optical tomography system. A sample volume including at least one microscopic sample and a viscous fluid is coaxially loaded into a sample delivery tube. The sample volume is impelled through a focus cell into a capillary tube, where the capillary tube has a smaller crossectional area than the sample delivery tube, so that a reduced volume of the at least one microscopic sample and viscous fluid is constrained to a central region within the capillary tube.
G01N 21/00 - Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
G01N 31/00 - Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroupsApparatus specially adapted for such methods
G01N 1/00 - SamplingPreparing specimens for investigation
G01N 1/10 - Devices for withdrawing samples in the liquid or fluent state
A method for loading a sample for imaging by an optical tomography system. A sample volume including at least one microscopic sample and a viscous fluid is coaxially loaded into a sample delivery tube (272). The sample volume is impelled through a focus cell (222) into a capillary tube (274), where the capillary tube (274) has a smaller crossectional area than the sample delivery tube, so that a reduced volume of the at least one microscopic sample and viscous fluid is constrained to a central region within the capillary tube (274).
G01N 30/00 - Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography
09 - Scientific and electric apparatus and instruments
Goods & Services
Sputum collection supplies for lung cancer screening, namely, a kit consisting primarily of laboratory centrifuge tubes for collecting sputum samples for lung cancer early detection screening and specimen transport bags specially adapted for laboratory use therewith
09 - Scientific and electric apparatus and instruments
Goods & Services
Sputum collection supplies for lung cancer screening, namely, a kit consisting primarily of laboratory centrifuge tubes for collecting sputum samples for lung cancer early detection screening and specimen transport bags specially adapted for laboratory use therewith
56.
Cantilevered coaxial flow injector apparatus and method for sorting particles
An apparatus and method for sorting particles in a laminar flow microfluidic channel includes a cantilevered coaxial flow injector in a microfluidic device, the cantilevered coaxial flow injector including an elongated cantilever element integrated into the microfluidic device. A coaxial channel runs through the elongated cantilever element, where coaxial channel is sized to pass particles of a predetermined size. An actuator is coupled to the elongated cantilever element, for actuating said elongated cantilever element.
B07C 5/00 - Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or featureSorting by manually actuated devices, e.g. switches
A scanning method for scanning samples of biological cells using optical tomography includes preparing, acquiring, reconstructing and viewing three-dimensional images of cell samples. Concentration and enrichment of the cell sample follows. The cell sample is stained. Cells are isolated from the cell sample and purified. A cell/solvent mixture is injected into a gel by centrifugation. A cell/gel mixture is injected into a capillary tube until a cell appears centered in a field of view using a stopped-flow method. An optical imaging system, such as a fixed or variable motion optical tomography system acquires a projection image. The sample is rotated about a tube axis to generate additional projections. Once image acquisition is completed, the acquired image projections are corrected for errors. A computer or other equivalent processor is used to compute filtered backprojection information for 3D reconstruction.
A system for optical imaging of a thick specimen that permits rapid acquisition of data necessary for tomographic reconstruction of the three-dimensional (3D) image. One method involves the scanning of the focal plane of an imaging system and integrating the range of focal planes onto a detector. The focal plane of an optical imaging system is scanned along the axis perpendicular to said plane through the thickness of a specimen during a single detector exposure. Secondly, methods for reducing light scatter when using illumination point sources are presented. Both approaches yield shadowgrams. This process is repeated from multiple perspectives, either in series using a single illumination/detection subsystem, or in parallel using several illumination/detection subsystems. A set of pseudo-projections is generated, which are input to a three dimensional tomographic image reconstruction algorithm.
