Patents by Inventor Jonathan Henriksen

Jonathan Henriksen 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 detection and annotation of prostate cancer on histopathology slides
    Patent number: 11631171
    Abstract: Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and ?-methylacyl CoA racemase (AMACR).
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: April 18, 2023
    Assignee: Regents of the University of Minnesota
    Inventors: Ethan Yize Leng, Gregory John Metzger, Joseph S. Koopmeiners, Jonathan Henriksen, Stephen C. Schmechel
  • AUTOMATED DETECTION AND ANNOTATION OF PROSTATE CANCER ON HISTOPATHOLOGY SLIDES
    Publication number: 20200250817
    Abstract: Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and a-methylacyl CoA racemase (AMACR).
    Type: Application
    Filed: January 8, 2020
    Publication date: August 6, 2020
    Inventors: Ethan Yize Leng, Gregory John Metzger, Joseph S. Koopmeiners, Jonathan Henriksen, Stephen C. Schmechel
  • Computerized methods for tissue analysis
    Patent number: 8718350
    Abstract: A computerized method for immunohistochemistry analysis of tissue utilizes digital images of multiple adjacent tissue sections aligned within a computerized software and processed with an algorithm to quantify a two-dimensional IHC signature score for each respective slide image. In various embodiments, the IHC score is performed over several adjacent sections and further processed to produce a three-dimensional IHC quantification referred to as an IHC signature map.
    Type: Grant
    Filed: April 9, 2012
    Date of Patent: May 6, 2014
    Assignee: Regents of the University of Minnesota
    Inventors: Gregory Metzger, Stephen C. Schmechel, Stephen Dankbar, Jonathan Henriksen
  • COMPUTERIZED METHODS FOR TISSUE ANALYSIS USING N-GENE PROFILING
    Publication number: 20120257811
    Abstract: A computerized method for immunohistochemistry analysis of tissue utilizes digital images of multiple adjacent tissue sections aligned within a computerized software and processed with an algorithm to quantify a two-dimensional IHC signature score for each respective slide image. In various embodiments, the IHC score is performed over several adjacent sections and further processed to produce a three-dimensional IHC quantification referred to as an IHC signature map.
    Type: Application
    Filed: April 9, 2012
    Publication date: October 11, 2012
    Inventors: Gregory Metzger, Stephen C. Schmechel, Stephen Dankbar, Jonathan Henriksen