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1. WO2014172527 - SYSTEMS AND METHODS FOR MULTIPLEXED BIOMARKER QUANTITATION USING SINGLE CELL SEGMENTATION ON SEQUENTIALLY STAINED TISSUE

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

CLAIMS:

1. A computer-implemented method for performing multi-channel hierarchical image segmentation analysis of tissue types, cell units and sub-cellular units in biological tissue, the method comprising:

accessing image data corresponding to multi-channel multiplexed image of biological tissue sequentially fluorescent stained to manifest expression levels of a plurality of morphological biomarkers in the biological tissue;

performing multi-channel image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more cells in the biological tissue;

performing multi-channel image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more sub-cellular morphological units within the one or more cells; and

rendering, on a visual display device, a hierarchical representation of the one or more cells and the one or more sub-cellular morphological units in the one or more cells.

2. The method of claim 1, further comprising:

automatically determining expression levels of a biomarker in the one or more cellular morphological units at cell level; and

automatically determining expression levels of a biomarker in the one or more sub-cellular morphological units at the level of the sub-cellular morphological units.

3. The method of claim 2, further comprising:

automatically grouping a plurality of biological tissue regions based on the expression levels of the biomarker in the sub-cellular morphological units.

4. The method of claim 1, further comprising:

performing an analysis to determine a relationship between expression levels of a biomarker in the one or more sub-cellular morphological units and the configurations of the one or more sub-cellular morphological units.

5. The method of claim 1, wherein the one or more sub-cellular

morphological units comprise one or more nuclei, one or more cytoplasms, and/or one or more membranes.

6. The method of claim 1, wherein the one or more sub-cellular

morphological units include a membrane or a cytoplasm, and wherein the image segmentation analysis identifies the membrane or cytoplasm by using a probability map to generate a ring-like structure modeling the membrane or the cytoplasm.

7. The method of claim 1, further comprising:

automatically rendering, on the visual display device, representations of expression levels of a biomarker in an overlaid manner on the representations of the one or more cells and the one or more sub-cellular morphological units in the one or more cells.

8. The method of claim 1, further comprising:

determining a measure of expression levels of a biomarker, the measure being specific to at least one of the one or more sub-cellular morphological units in the one or more cells.

9. The method of claim 8, wherein the measure of the expression levels of the biomarker is a mean of the expression levels.

10. The method of claim 1, wherein the locations and configurations of the one or more sub-cellular morphological units are determined by imposing topological constraints within the cells.

11. The method of claim 1, wherein the plurality of morphological biomarkers include a plurality of biomarkers representative of a single type of sub-cellular morphological unit.

12. The method of claim 1, further comprising:

performing image segmentation analysis on the image data based on the biomarker expression levels and biomarker morphology to identify at least one tissue-based region of interest; and

rendering, on a visual display device, a hierarchical representation of the one or more cells, the one or more sub-cellular morphological units in the one or more cells, and the at least one tissue-based region of interest.

13. The method of claim 12, wherein the one or more sub-cellular

morphological units include at least one of cell membranes of the one or more cells, cytoplasms of the one or more cells, and nuclei of the one or more cells; and

rendering, on a visual display device, a hierarchical representation of the one or more cells, the at least one tissue-based region of interest, and the at least one of the cell membranes of the one or more cells, the cytoplasms of the one or more cells, and the nuclei of the one or more cells.

14. The method of claim 12, wherein the at least one tissue-based region of interest includes a collection of stromal cells or a collection of epithelial cells.

15. The method of claim 1, further comprising:

determine shapes of the one or more cells based on the image segmentation analysis identifying the locations and the configurations of the one or more cells; and generate rankings for the one or more cells, or sub-cellular units based on the shapes of the one or more cells or sub-cellular units, each ranking indicating a probability or similarity that cell boundaries, or sub-cellular units of a corresponding cell or sub-cellular unit are correctly identified by the image segmentation analysis.

16. The method of claim 1, wherein, in the hierarchical representation, a pixel of the image data is associated with a single type of sub-cellular morphological unit.

17. The method of claim 1, wherein, in the hierarchical representation, a pixel of the image data is associated with one or more types of sub-cellular morphological unit.

18. The method of claim 17, wherein, in the hierarchical representation, the pixel of the image data has a first probability that the pixel corresponds to the first type of sub-cellular morphological unit and a second probability that the pixel corresponds to the second type of sub-cellular morphological unit.

19. The method of claim 17, wherein, in the hierarchical representation, the pixel of the image data has a first membership value that the pixel corresponds to the first type of sub-cellular morphological unit and a second membership value that the pixel corresponds to the second type of sub-cellular morphological unit.

20. The method of claim 1, further comprising:

determining one or more segmentation-quality metrics for the one or more cells.

21. The method of claim 19, further comprising:

rendering, on the visual display device, the one or more segmentation-quality metrics for the one or more cells in an overlaid manner over the rendering of the one or more cells.

22. The method of claim 19, wherein the rendering of the multi-channel hierarchical representation of the one or more cells includes:

only rendering a subset of cells among the one or more cells having segmentation-quality metrics that satisfy one or more predefined segmentation quality criteria.

23. The method of claim 1, further comprising performing multi-channel image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more tissue-types in the biological tissue.

24. A computer system for performing multi-channel hierarchical image segmentation analysis of sub-cellular units in biological tissue, the computer system comprising:

a visual display device;

a processing device configured to:

access multi-channel image data corresponding to a multiplexed image of biological tissue sequentially fluorescent stained to manifest expression levels of a plurality of morphological biomarkers in the biological tissue, perform multi-channel image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more cells in the biological tissue, and perform image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more sub-cellular morphological units within the one or more cells; and a storage device configured to store the locations and configurations of the one or more sub-cellular morphological units within the one or more cells.

25. One or more computer-readable media having encoded thereon one or more computer-executable instructions for performing a method for performing multi-channel hierarchical image segmentation analysis of sub-cellular units in biological tissue, the method comprising:

accessing image data corresponding to a multiplexed image of biological tissue sequentially fluorescent stained to manifest expression levels of a plurality of

morphological biomarkers in the biological tissue;

performing multi-channel image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more cells in the biological tissue;

performing multi-channel image segmentation analysis on the image data based on the biomarker expression levels to identify locations and configurations of one or more sub-cellular morphological units within the one or more cells; and

rendering, on a visual display device, a hierarchical representation of the one or more cells and the one or more sub-cellular morphological units in the one or more cells.