Patents by Inventor Yuanxin Zhu

Yuanxin Zhu 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: 9164022
    Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.
    Type: Grant
    Filed: February 12, 2015
    Date of Patent: October 20, 2015
    Assignee: Becton, Dickinson and Company
    Inventors: Yuanxin Zhu, Mengxiang Tang
  • Publication number: 20150160115
    Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.
    Type: Application
    Filed: February 12, 2015
    Publication date: June 11, 2015
    Inventors: Yuanxin Zhu, Mengxiang Tang
  • Patent number: 8990047
    Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.
    Type: Grant
    Filed: March 21, 2011
    Date of Patent: March 24, 2015
    Assignee: Becton, Dickinson and Company
    Inventors: Yuanxin Zhu, Mengxiang Tang
  • Publication number: 20120245889
    Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.
    Type: Application
    Filed: March 21, 2011
    Publication date: September 27, 2012
    Applicant: BECTON, DICKINSON AND COMPANY
    Inventors: Yuanxin Zhu, Mengxiang Tang