Patents by Inventor Mathieu Maurice Petitjean

Mathieu Maurice Petitjean 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).

  • Publication number: 20240029247
    Abstract: Systems and methods are provided for computer aided phenotyping of biological samples with fibrillar structures. A digital image indicates presence of proteins or cells that can form fibrillar structures in the biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the proteins or cells fibers that is expected to be different for different phenotypes of interest of their structure. At least some features are tissue level features that describe macroscopic characteristics, morphometric level features that describe morphometric characteristics of the fibrillar structures, and texture level features that describe an organization of the fibrillar structures.
    Type: Application
    Filed: October 3, 2023
    Publication date: January 25, 2024
    Inventor: Mathieu Maurice Petitjean
  • Patent number: 11798163
    Abstract: Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.
    Type: Grant
    Filed: July 21, 2022
    Date of Patent: October 24, 2023
    Assignee: PHARMANEST LLC
    Inventor: Mathieu Maurice Petitjean
  • Publication number: 20230019599
    Abstract: Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.
    Type: Application
    Filed: July 21, 2022
    Publication date: January 19, 2023
    Inventor: Mathieu Maurice Petitjean
  • Patent number: 11430112
    Abstract: Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.
    Type: Grant
    Filed: April 17, 2020
    Date of Patent: August 30, 2022
    Assignee: PHARMANEST LLC
    Inventor: Mathieu Maurice Petitjean
  • Publication number: 20200372640
    Abstract: Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.
    Type: Application
    Filed: April 17, 2020
    Publication date: November 26, 2020
    Inventor: Mathieu Maurice Petitjean