Patents by Inventor Darya Y. Orlova

Darya Y. Orlova 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 cluster matching across samples and guided visualization of multidimensional cytometry data
    Patent number: 10685045
    Abstract: Some embodiments provide methods, systems and computer-readable media that employ adaptive binning and dissimilarity scores based on a quadratic form distance for multidimensional data for matching clusters in data corresponding to different sample. Some embodiments provide methods, systems and computer-readable media for rendering a first interactive display including a two-dimensional plot of at least a portion of a multidimensional data set and a corresponding second interactive display including a plurality of single parameter charts or histograms, each displaying information corresponding to one-dimensional measurements of a different parameter in the multidimensional data set.
    Type: Grant
    Filed: July 17, 2017
    Date of Patent: June 16, 2020
    Assignee: The Board of Trustees of The Leland Stanford Junior University
    Inventors: Darya Y. Orlova, Stephen W. Meehan, Wayne A. Moore, Guenther Walther, David R. Parks, Leonore A. Herzenberg, Connor Meehan
  • FULLY AUTOMATED (UNSUPERVISED) IDENTIFICATION, MATCHING, DISPLAY AND QUANTITATION OF SUBSETS (CLUSTERS) BY EXHAUSTIVE PROJECTION PURSUIT METHODS
    Publication number: 20190360914
    Abstract: A method for defining distributions of functional subpopulations of cells in a cell population.
    Type: Application
    Filed: May 1, 2019
    Publication date: November 28, 2019
    Inventors: Stephen W. Meehan, Darya Y. Orlova, Wayne A. Moore, David R. Parks, Connor Meehan, Guenther Walther, Leonore A. Herzenberg
  • Quantification of antigen molecules using dynamic flow cytometry
    Patent number: 10379118
    Abstract: The described invention provides a method for quantifying cellular antigens that is independent of specially prepared calibration beads and antibody reagents. The described method can be applied to both low and high affinity antibodies, under both saturating and non-saturating binding conditions.
    Type: Grant
    Filed: February 10, 2016
    Date of Patent: August 13, 2019
    Assignee: The Board of Trustees of The Leland Stanford Junior University
    Inventors: Darya Y. Orlova, David R. Parks, Leonore A. Herzenberg, Andrei V. Chernyshev, Alexander E. Moskalensky
  • SYSTEMS AND METHODS FOR CLUSTER MATCHING ACROSS SAMPLES AND GUIDED VISUALIZATION OF MULTIDIMENSIONAL CYTOMETRY DATA
    Publication number: 20180018386
    Abstract: Some embodiments provide methods, systems and computer-readable media that employ adaptive binning and dissimilarity scores based on a quadratic form distance for multidimensional data for matching clusters in data corresponding to different sample. Some embodiments provide methods, systems and computer-readable media for rendering a first interactive display including a two-dimensional plot of at least a portion of a multidimensional data set and a corresponding second interactive display including a plurality of single parameter charts or histograms, each displaying information corresponding to one-dimensional measurements of a different parameter in the multidimensional data set.
    Type: Application
    Filed: July 17, 2017
    Publication date: January 18, 2018
    Inventors: Darya Y. Orlova, Stephen W. Meehan, Wayne A. Moore, Guenther Walther, David R. Parks, Leonore A. Herzenberg
  • QUANTIFICATION OF ANTIGEN MOLECULES USING DYNAMIC FLOW CYTOMETRY
    Publication number: 20160238597
    Abstract: The described invention provides a method for quantifying cellular antigens that is independent of specially prepared calibration beads and antibody reagents. The described method can be applied to both low and high affinity antibodies, under both saturating and non-saturating binding conditions.
    Type: Application
    Filed: February 10, 2016
    Publication date: August 18, 2016
    Inventors: Darya Y. Orlova, David R. Parks, Leonore A. Herzenberg, Andrei V. Chernyshev, Alexander E. Moskalensky
  • CLUSTER PROCESSING AND RANKING METHODS INCLUDING METHODS APPLICABLE TO CLUSTER DEVELOPED THROUGH DENSITY BASED MERGING
    Publication number: 20150293992
    Abstract: The described invention provides a method and/or system for analyzing data using population clustering through density based merging, and a method for guiding clustering strategy through entropy-based ranking score.
    Type: Application
    Filed: April 20, 2015
    Publication date: October 15, 2015
    Inventors: Stephen W. Meehan, Wayne A. Moore, Guenther Walther, Darya Y. Orlova, Connor G.W. Meehan, David R. Parks, Leonore A. Herzenberg