US 11,908,130 B2
Apparatuses and methods for digital pathology
Michael J. Natan, Weston, MA (US); Marshall Bern, San Carlos, CA (US); and Eric Carlson, Cupertino, CA (US)
Assigned to Protein Metrics LLC, Cupertino, CA (US)
Filed by Protein Metrics, LLC, Cupertino, CA (US)
Filed on Dec. 31, 2020, as Appl. No. 17/139,882.
Claims priority of provisional application 62/957,095, filed on Jan. 3, 2020.
Prior Publication US 2021/0209756 A1, Jul. 8, 2021
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G06N 20/00 (2019.01); G01N 33/483 (2006.01); G16H 70/60 (2018.01)
CPC G06T 7/0012 (2013.01) [G01N 33/4833 (2013.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 70/60 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30204 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for generating image data for a set of stained slides that comprises a tissue sample, the method comprising:
selecting a plurality of sub-regions from one of the set of stained slides;
identifying, for each imaging channel of a first plurality of imaging channels, either a first number of variations of contrast thresholds, a first number of variations of thresholds of marker positivity, or a first number of variations of contrast thresholds and a first number of variations of thresholds of marker positivity, wherein each imaging channel is associated with a corresponding biomarker or plurality of biomarkers;
generating a plurality of masks for each of the plurality of sub-regions corresponding to each combination of the variations of contrast thresholds and variations of thresholds of marker positivity for each imaging channel of the first plurality of imaging channels, wherein each mask is segmented to identify cells;
ranking the plurality of masks based on an ability of each of the plurality of masks to accurately identify cells that are positive for the corresponding biomarker or plurality of biomarkers of each imaging channel of the first plurality of imaging channels;
selecting a set of final mask parameters from the plurality of masks based on the rankings; and
generating a set of slide images for all slides of the set of stained slides using the set of final mask parameters.