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:
May. 27, 2025

Filed:

Sep. 30, 2019
Applicants:

Flowjo, Llc, Ashland, OR (US);

Becton, Dickinson and Company, Franklin Lakes, NJ (US);

Inventors:

Janice H. Lai, Mountain View, CA (US);

Miguel Velazquez-Palafox, Ashland, OR (US);

Ian Taylor, Talent, OR (US);

Assignees:

FlowJo, LLC, Franklin Lakes, NJ (US);

Becton, Dickinson and Company, Franklin Lakes, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 15/14 (2024.01); G16B 20/40 (2019.01); G16B 40/00 (2019.01); G16B 50/30 (2019.01);
U.S. Cl.
CPC ...
G01N 15/1459 (2013.01); G16B 20/40 (2019.02); G16B 40/00 (2019.02); G16B 50/30 (2019.02);
Abstract

Methods and systems for a deep-learning platform for sorting cell populations. An example method includes executing a software-platform associated with analyzing received flow cytometry data obtained via an acquisition device in communication with the computing system, and the software-platform sorting cell populations indicated in the flow cytometry data. User input is received indicating selection of a deep-learning module, the deep-learning module being obtained via a network to supplement the software-platform. The flow cytometry data is analyzed and a machine learning model is selected which was trained based on similar phenotype information as indicated in the flow cytometry data. The machine learning model is applied based on the flow cytometry data, the information being normalized based on the UMI counts associated with the flow cytometry data. A graphical representation of cell populations indicated in the flow cytometry data is presented, the graphical representation sorting the cell populations according to phenotype information.


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