US 12,008,825 B2
Classification workflow for flexible image based particle sorting
Ming-Chang Liu, San Jose, CA (US); Michael Zordan, Boulder Creek, CA (US); Ko-Kai Albert Huang, Cupertino, CA (US); Su-Hui Chiang, San Jose, CA (US); and Liyu Gong, Lexington, KY (US)
Assigned to SONY GROUP CORPORATION, Tokyo (JP); and SONY CORPORATION OF AMERICA, New York, NY (US)
Filed by SONY GROUP CORPORATION, Tokyo (JP); and Sony Corporation of America, New York, NY (US)
Filed on Nov. 19, 2021, as Appl. No. 17/531,124.
Claims priority of provisional application 63/116,090, filed on Nov. 19, 2020.
Prior Publication US 2022/0156482 A1, May 19, 2022
Int. Cl. G06V 20/69 (2022.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06F 18/2411 (2023.01)
CPC G06V 20/698 (2022.01) [G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06F 18/2411 (2023.01)] 21 Claims
OG exemplary drawing
 
1. A method comprising:
pre-training a feature encoder using cell images;
performing unsupervised clustering to identify populations, wherein the unsupervised clustering receives output from pre-training the feature encoder, wherein performing the unsupervised clustering includes classifying cells of the cell images into clusters, wherein a user labels the clusters after the unsupervised clustering based on viewing the cluster and representative information, wherein clusters are labeled as “sort” or “do not sort;”
implementing a classifier to fine-tune supervised classification; and
performing real-time classification of cells during active sorting using the classifier, wherein the real-time classification processes an entire image of each cell.