The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 31, 2024

Filed:

Feb. 09, 2024
Applicant:

University of Pittsburgh—of the Commonwealth System of Higher Education, Pittsburgh, PA (US);

Inventors:

Srinivas C. Chennubhotla, Pittsburgh, PA (US);

Filippo Pullara, Pittsburgh, PA (US);

Douglass L. Taylor, Pittsburgh, PA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); G01N 33/574 (2006.01); G06T 7/00 (2017.01); G06V 10/426 (2022.01); G06V 10/74 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06V 20/698 (2022.01); G01N 33/574 (2013.01); G06T 7/0012 (2013.01); G06V 10/426 (2022.01); G06V 10/761 (2022.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

A computational systems pathology spatial analysis platform includes: (i) a spatial heterogeneity quantification component configured for generating a global quantification of spatial heterogeneity among cells of varying phenotypes in multi-parameter cellular and subcellular imaging data; (ii) a microdomain identification component configured for identifying a plurality of microdomains for tissue samples based on the global quantification, each microdomain being associated with a tissue sample; and (iii) a weighted graph component configured for constructing a weighted graph for the multi-parameter cellular and subcellular imaging data, the weighted graph having a plurality of nodes and a plurality of edges each being located between a pair of the nodes, wherein in the weighted graph each node is a particular one of the microdomains and the edge between each pair of microdomains in the weighted graph is indicative of a degree of similarity between the pair of the microdomains.


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