Patents by Inventor Nilesh Saratkar

Nilesh Saratkar 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).

  • AUTOMATED ANALYSIS OF ANALYTICAL GELS AND BLOTS
    Publication number: 20230417700
    Abstract: The present solution describes an automated system for analyzing analytical gels or blots, such as electrophoresis gels. The system can automatically detect the lanes within the gel and convert the lane into a feature vector that can be compared to reference datasets. Based on a comparison of the feature vector to the reference datasets, the system can automatically classify the feature vector (and the test sample in the lane) into a phenotype group.
    Type: Application
    Filed: June 26, 2023
    Publication date: December 28, 2023
    Applicant: Quest Diagnostics Investments LLC
    Inventors: Nilesh Saratkar, Stanley Naides, Michelle A. Cleveland
  • Automated analysis of analytical gels and blots
    Patent number: 11686703
    Abstract: The present solution describes an automated system for analyzing analytical gels or blots, such as electrophoresis gels. The system can automatically detect the lanes within the gel and convert the lane into a feature vector that can be compared to reference datasets. Based on a comparison of the feature vector to the reference datasets, the system can automatically classify the feature vector (and the test sample in the lane) into a phenotype group.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: June 27, 2023
    Assignee: Quest Diagnostics Investments LLC
    Inventors: Nilesh Saratkar, Stanley Naides, Michelle A. Cleveland
  • AUTOMATED ANALYSIS OF ANALYTICAL GELS AND BLOTS
    Publication number: 20200319140
    Abstract: The present solution describes an automated system for analyzing analytical gels or blots, such as electrophoresis gels. The system can automatically detect the lanes within the gel and convert the lane into a feature vector that can be compared to reference datasets. Based on a comparison of the feature vector to the reference datasets, the system can automatically classify the feature vector (and the test sample in the lane) into a phenotype group.
    Type: Application
    Filed: December 21, 2018
    Publication date: October 8, 2020
    Applicant: Quest Diagnostics Investments LLC
    Inventors: Nilesh Saratkar, Stanley Naides, Michelle A. Cleveland