Patents by Inventor Andrew P. Voigt

Andrew P. Voigt 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, METHOD, AND ARTICLE FOR DETECTING ABNORMAL CELLS USING MULTI-DIMENSIONAL ANALYSIS
    Publication number: 20240044904
    Abstract: A normal set of cells is characterized using flow cytometry. A centroid and radius are defined for a set of clusters in an n-dimensional space corresponding to a normal maturation for a cell lineage in the normal set of cells. A test set of cells is characterized using flow cytometry and the characterization is compared to the defined set of clusters. Support Vector Machine (SVM) subroutines are employed to identify reference populations of interest by generating multidimensional boundary definitions. These boundary definitions may be used to identify reference populations to use in defining or refining a centroid line or a radius or radii defining a set of normal clusters, and to characterize and compare a test set of cells to the defined set of normal clusters.
    Type: Application
    Filed: March 20, 2023
    Publication date: February 8, 2024
    Inventors: Michael R. Loken, Andrew P. Voigt
  • System, method, and article for detecting abnormal cells using multi-dimensional analysis
    Patent number: 11639936
    Abstract: A normal set of cells is characterized using flow cytometry. A centroid and radius are defined for a set of clusters in an n-dimensional space corresponding to a normal maturation for a cell lineage in the normal set of cells. A test set of cells is characterized using flow cytometry and the characterization is compared to the defined set of clusters. Support Vector Machine (SVM) subroutines are employed to identify reference populations of interest by generating multidimensional boundary definitions. These boundary definitions may be used to identify reference populations to use in defining or refining a centroid line or a radius or radii defining a set of normal clusters, and to characterize and compare a test set of cells to the defined set of normal clusters.
    Type: Grant
    Filed: September 19, 2017
    Date of Patent: May 2, 2023
    Assignee: Hematologics, Inc.
    Inventors: Michael R. Loken, Andrew P. Voigt
  • SYSTEM, METHOD, AND ARTICLE FOR DETECTING ABNORMAL CELLS USING MULTI-DIMENSIONAL ANALYSIS
    Publication number: 20200158734
    Abstract: A normal set of cells is characterized using flow cytometry. A centroid and radius are defined for a set of clusters in an n-dimensional space corresponding to a normal maturation for a cell lineage in the normal set of cells. A test set of cells is characterized using flow cytometry and the characterization is compared to the defined set of clusters. Support Vector Machine (SVM) subroutines are employed to identify reference populations of interest by generating multidimensional boundary definitions. These boundary definitions may be used to identify reference populations to use in defining or refining a centroid line or a radius or radii defining a set of normal clusters, and to characterize and compare a test set of cells to the defined set of normal clusters.
    Type: Application
    Filed: September 19, 2017
    Publication date: May 21, 2020
    Inventors: Michael R. Loken, Andrew P. Voigt