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:
Sep. 23, 2025

Filed:

Nov. 28, 2022
Applicants:

Sony Group Corporation, Tokyo, JP;

Sony Corporation of America, New York, NY (US);

Inventors:

Su-Hui Chiang, San Jose, CA (US);

Ming-Chang Liu, San Jose, CA (US);

Assignees:

SONY GROUP CORPORATION, Tokyo, JP;

SONY CORPORATION OF AMERICA, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/44 (2022.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06V 10/44 (2022.01); G06V 10/762 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A framework that includes one or more feature extractors (models) and a cluster component for clustering is described herein. The framework supports (1) offline image-based unsupervised clustering that replaces time-consuming manual gating; (2) online image-based single cell sorting. During training, one or multiple cell image datasets with or without ground truth are used to train one or more feature extractors, which are based on a neural network including several convolutional layers. Once trained, the feature extractors are used to extract features of cell images for unsupervised cell clustering and sorting. In addition, additional datasets may be used to further refine the feature extractors after they have been trained.


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