Patents by Inventor Anthony Gitter

Anthony Gitter 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).

  • Systems and methods for classifying activated T cells
    Patent number: 11410440
    Abstract: Systems and methods for classifying and/or sorting T cells by activation state are disclosed. The system includes a cell classifying pathway, a single-cell autofluorescence image sensor, a processor, and a non-transitory computer-readable memory. The memory is accessible to the processor and has stored thereon a trained convolutional neural network and instructions. The instructions, when executed by the processor, cause the processor to: a) receive the autofluorescence intensity image; b) optionally pre-process the autofluorescence intensity image to produce an adjusted autofluorescence intensity image; c) input the autofluorescence intensity image or the adjusted autofluorescence intensity image into the trained convolutional neural network to produce an activation prediction for the T cell.
    Type: Grant
    Filed: August 13, 2020
    Date of Patent: August 9, 2022
    Assignee: Wisconsin Alumni Research Foundation
    Inventors: Melissa C. Skala, Anthony Gitter, Zijie Wang, Alexandra J. Walsh
  • SYSTEMS AND METHODS FOR CLASSIFYING ACTIVATED T CELLS
    Publication number: 20210049346
    Abstract: Systems and methods for classifying and/or sorting T cells by activation state are disclosed. The system includes a cell classifying pathway, a single-cell autofluorescence image sensor, a processor, and a non-transitory computer-readable memory. The memory is accessible to the processor and has stored thereon a trained convolutional neural network and instructions. The instructions, when executed by the processor, cause the processor to: a) receive the autofluorescence intensity image; b) optionally pre-process the autofluorescence intensity image to produce an adjusted autofluorescence intensity image; c) input the autofluorescence intensity image or the adjusted autofluorescence intensity image into the trained convolutional neural network to produce an activation prediction for the T cell.
    Type: Application
    Filed: August 13, 2020
    Publication date: February 18, 2021
    Applicant: Wisconsin Alumni Research Foundation
    Inventors: Melissa C. Skala, Anthony Gitter, Zijie Wang, Alexandra J. Walsh