Patent ID: 11972858
Assignee: UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of characterizing cellular phenotypes from multi-parameter cellular and sub-cellular imaging data for a number of tissue samples from a number of patients or a number of multicellular in vitro models, comprising:
receiving segmented multi-parameter cellular and sub-cellular imaging data, wherein the segmented multi-parameter cellular and sub-cellular imaging data is generated by performing cellular segmentation on the multi-parameter cellular and sub-cellular imaging data; and
performing recursive decomposition on the segmented multi-parameter cellular and subcellular imaging data to identify a plurality of computational phenotypes, wherein the recursive decomposition includes a plurality of levels of decomposition with each level of decomposition including soft/probabilistic clustering and spatial regularization, and wherein each cell in the segmented multi-parameter cellular and subcellular imaging data is probabilistically assigned to one or more of the plurality of computational phenotypes.