	US 12,308,096 B2
	Computer device for detecting an optimal candidate compound and methods thereof
Emmanuel Israel Fuentes, Waukesha, WI (US); Gopal Biligeri Avinash, San Ramon, CA (US); Robert John Graves, San Ramon, CA (US); Abhijit Vijay Thatte, San Ramon, CA (US); Afek Kodesh, San Ramon, CA (US); Jeffery Caron, San Ramon, CA (US); and Sharmistha Das, San Ramon, CA (US)
Assigned to Molecular Devices, LLC, San Jose, CA (US)
Filed by Molecular Devices, LLC, San Jose, CA (US)
Filed on Mar. 10, 2023, as Appl. No. 18/119,992.
Application 18/119,992 is a continuation of application No. 16/336,549, granted, now 11,636,924, previously published as PCT/EP2017/075003, filed on Oct. 2, 2017.
Claims priority of provisional application 62/402,272, filed on Sep. 30, 2016.
Prior Publication US 2024/0013867 A1, Jan. 11, 2024
Int. Cl. G16C 20/50 (2019.01); G06F 18/2321 (2023.01); G06T 7/00 (2017.01); G06V 10/762 (2022.01); G06V 20/69 (2022.01); G16B 20/00 (2019.01); G01N 33/50 (2006.01)

CPC G16C 20/50 (2019.02) [G06F 18/2321 (2023.01); G06T 7/0012 (2013.01); G06T 7/0014 (2013.01); G06V 10/763 (2022.01); G06V 20/698 (2022.01); G16B 20/00 (2019.02); G01N 33/5008 (2013.01); G06F 2218/16 (2023.01); G06T 2200/24 (2013.01); G06T 2207/30024 (2013.01)]

20 Claims

1. A computer-implemented method for generating class-labels and/or classes for cells comprising:

obtaining image data associated with a plurality of samples of a cell line treated with a biomarker and subjected to experimental perturbation;

segmenting, by a processor, cell objects from the obtained image data;

generating a set of class-labels corresponding to each of the cell objects;

running an unsupervised clustering algorithm on the processor to classify each of the cell objects with a corresponding one of the set of class-labels;

displaying at least one cell object and the respective class-label;

receiving data indicative of an operation on at least one class-label; and

performing the operation on the class-label by the processor based on the received data.