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US 12,716,825 B2Granted
Method of storing and retrieving digital pathology analysis results
AssigneeVentana Medical Systems, Inc.
InventorsJoerg Bredno, Auranuch Lorsakul
Life of this patent
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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 comprising:
- accessing an image of a biological sample stained with at least one stain, wherein a portion of the image corresponds to a first characteristic of the at least one stain and a portion of the image corresponds to a second characteristic of the at least one stain;
- deriving a set of feature metrics from the image, wherein the set of feature metrics is derived based on cell nuclei depicted by the image;
- segmenting the image into a plurality of sub-regions, wherein each sub-region of the plurality of sub-regions defines a region of interest within the image, wherein at least one sub-region of the plurality of sub-regions is a superpixel corresponding to pixels of the image associated with the first characteristic, and wherein at least one sub-region of the plurality of sub-regions is a superpixel corresponding to pixels of the image associated with the second characteristic;
- determining one or more representational objects for each sub-region of the plurality of sub-regions;
- and
- associating, for each sub-region of the plurality of sub-regions, coordinates for each representational object of the one or more representational objects determined for the respective sub-region and a subset of feature metrics of the set of feature metrics, the subset of feature metrics derived from a portion of the image that corresponds to the respective sub-region.
3 more elements
A system comprising:
- (i) one or more processors, and
- (ii) a memory coupled to the one or more processors, the memory storing computer-executable instructions which, when executed by the one or more processors, cause the system to perform operations comprising:
- accessing an image of a biological sample stained with at least one stain, wherein a portion of the image corresponds to a first characteristic of the at least one stain and a portion of the image corresponds to a second characteristic of the at least one stain;
- deriving a set of feature metrics from the image, wherein the set of feature metrics is derived based on cell nuclei depicted by the image;
- segmenting the image into a plurality of sub-regions, wherein each sub-region of the plurality of sub-regions defines a region of interest within the image, wherein at least one sub-region of the plurality of sub-regions is a superpixel corresponding to pixels of the image associated with the first characteristic, and wherein at least one sub-region of the plurality of sub-regions is a superpixel corresponding to pixels of the image associated with the second characteristic;
- determining one or more representational objects for each sub-region of the plurality of sub-regions;
- and
- associating, for each sub-region of the plurality of sub-regions, coordinates for each representational object of the one or more representational objects determined for the respective sub-region and a subset of feature metrics of the set of feature metrics, the subset of feature metrics derived from a portion of the image that corresponds to the respective sub-region.
5 more elements
A non-transitory computer-readable medium storing computer-readable instructions which, when executed by one or more processors, cause a system to perform operations comprising:
- accessing an image of a biological sample stained with at least one stain, wherein a portion of the image corresponds to a first characteristic of the at least one stain and a portion of the image corresponds to a second characteristic of the at least one stain;
- deriving a set of feature metrics from the image, wherein the set of feature metrics is derived based on cell nuclei depicted by the image;
- segmenting the image into a plurality of sub-regions, wherein each sub-region of the plurality of sub-regions defines a region of interest within the image, wherein at least one sub-region of the plurality of sub-regions is a superpixel corresponding to pixels of the image associated with the first characteristic, and wherein at least one sub-region of the plurality of sub-regions is a superpixel corresponding to pixels of the image associated with the second characteristic;
- determining one or more representational objects for each sub-region of the plurality of sub-regions;
- and
- associating, for each sub-region of the plurality of sub-regions, coordinates for each representational object of the one or more representational objects determined for the respective sub-region and a subset of feature metrics of the set of feature metrics, the subset of feature metrics derived from a portion of the image that corresponds to the respective sub-region.
3 more elements
Dependencies are inferred from the claim text.