US 11,893,731 B2
Group sparsity model for image unmixing
Srinivas Chukka, San Jose, CA (US); and Ting Chen, Sunnyvale, CA (US)
Assigned to Ventana Medical Systems, Inc., Tucson, AZ (US)
Filed by Ventana Medical Systems, Inc., Tucson, AZ (US)
Filed on Aug. 2, 2021, as Appl. No. 17/391,398.
Application 16/590,942 is a division of application No. 15/243,899, filed on Aug. 22, 2016, granted, now 10,540,762, issued on Jan. 21, 2020.
Application 17/391,398 is a continuation of application No. 16/590,942, filed on Oct. 2, 2019, granted, now 11,113,809.
Application 15/243,899 is a continuation of application No. PCT/EP2015/053745, filed on Feb. 23, 2015.
Claims priority of provisional application 61/943,265, filed on Feb. 21, 2014.
Prior Publication US 2021/0366109 A1, Nov. 25, 2021
Int. Cl. G06T 7/00 (2017.01); G06T 7/90 (2017.01); G06V 20/69 (2022.01)
CPC G06T 7/0012 (2013.01) [G06T 7/90 (2017.01); G06V 20/698 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30204 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
accessing an image depicting a biological sample stained with a set of biomarkers;
accessing a reference color matrix, wherein the reference color matrix includes co-localization data for the set of biomarkers, wherein the co-localization data defines a plurality of groups of biomarkers within the set of biomarkers, each group of biomarkers of the plurality of groups of biomarkers including a subset of biomarkers of the set of biomarkers, wherein a first biomarker and a second biomarker of a subset of biomarkers of a first group of biomarkers of the plurality of groups of biomarkers represent a first common biological structure;
unmixing, based on the co-localization data of the reference color matrix, the image to generate a result that identifies, for one or more pixels of the image, a sparsity model that represents a first estimated fraction of contribution of the first biomarker and a second estimated fraction of contribution of the second biomarker; and
outputting the result.