Patents by Inventor Samantha A. Furman

Samantha A. Furman 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).

  • System and method for characterizing cellular phenotypic diversity from multi-parameter cellular, and sub-cellular imaging data
    Patent number: 11972858
    Abstract: A method of characterizing cellular phenotypes includes receiving multi-parameter cellular and sub-cellular imaging data for a number of tissue samples from a number of patients or a number of multicellular in vitro models, performing cellular segmentation on the multi-parameter cellular and sub-cellular imaging data to create segmented multi-parameter cellular and sub-cellular imaging data, and performing recursive decomposition on the segmented multi-parameter cellular and subcellular imaging data to identify a plurality of computational phenotypes. The recursive decomposition includes a plurality of levels of decomposition with each level of decomposition including soft/probabilistic clustering and spatial regularization, and each cell in the segmented multi-parameter cellular and subcellular imaging data is probabilistically assigned to one or more of the plurality of computational phenotypes.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: April 30, 2024
    Assignee: University of Pittsburgh-Of the Commonwealth System of Higher Education
    Inventors: Srinivas C. Chennubhotla, Filippo Pullara, Samantha A. Furman
  • SYSTEM AND METHOD FOR CHARACTERIZING CELLULAR PHENOTYPIC DIVERSITY FROM MULTI-PARAMETER CELLULAR, AND SUB-CELLULAR IMAGING DATA
    Publication number: 20220215935
    Abstract: A method of characterizing cellular phenotypes includes receiving multi-parameter cellular and sub-cellular imaging data for a number of tissue samples from a number of patients or a number of multicellular in vitro models, performing cellular segmentation on the multi-parameter cellular and sub-cellular imaging data to create segmented multi-parameter cellular and sub-cellular imaging data, and performing recursive decomposition on the segmented multi-parameter cellular and subcellular imaging data to identify a plurality of computational phenotypes. The recursive decomposition includes a plurality of levels of decomposition with each level of decomposition including soft/probabilistic clustering and spatial regularization, and each cell in the segmented multi-parameter cellular and subcellular imaging data is probabilistically assigned to one or more of the plurality of computational phenotypes.
    Type: Application
    Filed: May 13, 2020
    Publication date: July 7, 2022
    Applicant: University of Pittsburgh-Of the Commonwealth System of Higher Education
    Inventors: Srinivas C. Chennubhotla, Filippo Pullara, Samantha A. Furman