Method of storing and retrieving digital pathology analysis results
AssigneeVentana Medical Systems, Inc.
InventorsJoerg Bredno, Auranuch Lorsakul
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Abstract
The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
Claims20
A method of deriving data corresponding to irregularly-shaped cells from an image of a biological sample stained with at least one stain, the method comprising:
- deriving one or more feature metrics from the image by identifying nuclei of cells depicted by the image and calculating at least one expression score based on the identified nuclei, wherein the at least one expression score is calculated based on a percentage of cells of the cells depicted by the image that are biomarker-positive cells;
- segmenting the image using an image segmentation algorithm to identify a plurality of sub-regions within the image;
- computing a series of representational objects that correspond to a set of sub-regions of the identified plurality of sub-regions;
- wherein:
- each representational object of the series of representational objects identifies a particular cell type;
- and
- each sub-region of the set of sub-regions identifies an amount of stain that exceeds a threshold amount of stain;
- and
- associating the one or more derived feature metrics from the image with calculated coordinates of each of the series of representational objects.
A system for deriving data corresponding to irregularly-shaped cells from an image of a biological sample comprising at least one stain, the system comprising:
- (i) one or more processors, and (ii) a memory coupled to the one or more processors, the memory to store computer-executable instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
- deriving one or more feature metrics from the image by identifying nuclei of cells depicted by the image and calculating at least one expression score based on the identified nuclei, wherein the at least one expression score is calculated based on a percentage of cells of the cells depicted by the image that are biomarker-positive cells;
- segmenting the image using an image segmentation algorithm to identify a plurality of sub-regions within the image;
- computing a series of representational objects that correspond to a set of sub-regions of the identified plurality of sub-regions;
- wherein:
- each representational object of the series of representational objects identifies a particular cell type;
- and
- each sub-region of the set of sub-regions identifies an amount of stain that exceeds a threshold amount of stain;
- and
- associating the one or more derived feature metrics from the image with calculated coordinates of each of the series of representational objects.
A non-transitory computer-readable medium for deriving data corresponding to irregularly-shaped cells from an image of a biological sample stained with at least one stain, the non-transitory computer-readable medium storing instructions for analyzing data associated with biological objects having irregular shapes, the instructions comprising:
- deriving one or more feature metrics from the image by identifying nuclei of cells depicted by the image and calculating at least one expression score based on the identified nuclei, wherein the at least one expression score is calculated based on a percentage of cells of the cells depicted by the image that are biomarker-positive cells;
- segmenting the image using an image segmentation algorithm to identify a plurality of sub-regions within the image;
- computing a series of representational objects that correspond to a set of sub-regions of the identified plurality of sub-regions;
- wherein:
- each representational object of the series of representational objects identifies a particular cell type;
- and
- each sub-region of the set of sub-regions identifies an amount of stain that exceeds a threshold amount of stain;
- and
- associating the one or more derived feature metrics from the image with calculated coordinates of each of the series of representational objects.
Dependencies are inferred from the claim text.