Patents by Inventor Todd HOLLON

Todd HOLLON 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).

  • Patent number: 11756675
    Abstract: A system is presented for analyzing and interpreting histologic images. The system includes an imaging device and a diagnostic module. The imaging device captures an image of a tissue sample at an optical section of the tissue sample, where the tissue sample has a thickness larger than the optical section. The system may further include an image interpretation subsystem located remotely from the imaging device and configured to receive the images from the imaging device. The diagnostic module is configured to receive the images for the tissue sample from the imaging device and generates a diagnosis for the tissue sample by applying a machine learning algorithm to the images. The diagnostic module may be interface directly with the imaging device or located remotely at the image interpretation subsystem.
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: September 12, 2023
    Assignees: THE REGENTS OF THE UNIVERSITY OF MICHIGAN, INVENIO IMAGING, INC.
    Inventors: Daniel Orringer, Balaji Pandian, Christian Freudiger, Todd Hollon
  • Publication number: 20210050094
    Abstract: A system is presented for analyzing and interpreting histologic images. The system includes an imaging device and a diagnostic module. The imaging device captures an image of a tissue sample at an optical section of the tissue sample, where the tissue sample has a thickness larger than the optical section. The system may further include an image interpretation subsystem located remotely from the imaging device and configured to receive the images from the imaging device. The diagnostic module is configured to receive the images for the tissue sample from the imaging device and generates a diagnosis for the tissue sample by applying a machine learning algorithm to the images. The diagnostic module may be interface directly with the imaging device or located remotely at the image interpretation subsystem.
    Type: Application
    Filed: February 6, 2019
    Publication date: February 18, 2021
    Applicants: THE REGENTS OF THE UNIVERSITY OF MICHIGAN, INVENIO IMAGING, INC.
    Inventors: Daniel ORRINGER, Balaji PANDIAN, Christian FREUDIGER, Todd HOLLON