Molecular Devices Corporation

Abhijit Vijay Thatte

Gopal Biligeri Avinash

Afek Kodesh

Jeffery Caron

Sharmistha Das

Emmanuel Israel Fuentes

Robert John Graves

The invention relates to a method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of can-didate compounds, said method comprising generating () phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining () image data depicting each sample comprised in the concentration gradient, generating () a class-label and a class for each cell of the samples based on the image data, detecting () the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles. Furthermore, the invention also relates to corre-sponding computer device, a computer program, and a computer program product.

Computer device for detecting an optimal candidate compound and methods thereof

The invention relates to a method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, said method comprising generating () phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining () image data depicting each sample comprised in the concentration gradient, generating () a class-label and a class for each cell of the samples based on the image data, detecting () the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles. Furthermore, the invention also relates to corresponding computer device, a computer program, and a computer program product.

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San Ramon, CA, United States of America

Abhijit Vijay Thatte