Patents by Inventor Abhijit Vijay Thatte

Abhijit Vijay Thatte has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • COMPUTER DEVICE FOR DETECTING AN OPTIMAL CANDIDATE COMPOUND AND METHODS THEREOF
    Publication number: 20240013867
    Abstract: 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 (310) 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 (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidat
    Type: Application
    Filed: March 10, 2023
    Publication date: January 11, 2024
    Inventors: Emmanuel Israel Fuentes, Gopal Biligeri Avinash, Robert John Graves, Abhijit Vijay Thatte, Afek Kodesh, Jeffery Caron, Sharmistha Das
  • Computer device for detecting an optimal candidate compound and methods thereof
    Patent number: 11636924
    Abstract: 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 (310) 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 (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidat
    Type: Grant
    Filed: October 2, 2017
    Date of Patent: April 25, 2023
    Assignee: Molecular Devices, LLC
    Inventors: Emmanuel Israel Fuentes, Gopal Biligeri Avinash, Robert John Graves, Abhijit Vijay Thatte, Afek Kodesh, Jeffery Caron, Sharmistha Das
  • Computer Device for Detecting an Optimal Candidate Compound and Methods Thereof
    Publication number: 20210005287
    Abstract: 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 (310) 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 (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidat
    Type: Application
    Filed: October 2, 2017
    Publication date: January 7, 2021
    Inventors: Emmanuel Israel Fuentes, Gopal Biligeri Avinash, Robert John Graves, Abhijit Vijay Thatte, Afek Kodesh, Jeffery Caron, Sharmistha Das