Patents by Inventor Jian Yu Rao

Jian Yu Rao 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).

  • Cell analysis method using quantitative fluorescence image analysis
    Patent number: 5741648
    Abstract: A system for evaluating one or more biochemical markers for evaluating individual cancer risk, cancer diagnosis and for monitoring therapeutic effectiveness and cancer recurrence, particularly of bladder cancer. The system uses automated quantitative fluorescence image analysis of a cell sample collected from a body organ. Cells are treated with a fixative solution which inhibits crystal formation. Cell images are selected and stored as grey level images for further analysis. Cell images may be corrected for autofluorescence using a novel autofluorescence correction method. A neural net computer may be used to distinguish true-positive images from false-positive images to improve accuracy of cancer risk assessment. Cells having images positive for a marker amy be compared to threshold quantities related to predetermined cancer risk.
    Type: Grant
    Filed: February 9, 1996
    Date of Patent: April 21, 1998
    Assignee: The Board of Regents of the University of Oklahoma
    Inventors: George P. Hemstreet, III, Robert E. Hurst, Rebecca B. Bonner, Jian Yu Rao
  • Cell analysis method using quantitative fluorescence image analysis
    Patent number: 5733721
    Abstract: A system for evaluating one or more biochemical markers for evaluating individual cancer risk, cancer diagnosis and for monitoring therapeutic effectiveness and cancer recurrence, particularly of bladder cancer. The system uses automated quantitative fluorescence image analysis of a cell sample collected from a body organ. Cells are treated with a fixative solution which inhibits crystal formation. Cell images are selected and stored as grey level images for further analysis. Cell images may be corrected for autofluorescence using a novel autofluorescence correction method. A neural net computer may be used to distinguish true-positive images from false-positive images to improve accuracy of cancer risk assessment. Cells having images positive for a marker amy be compared to threshold quantities related to predetermined cancer risk.
    Type: Grant
    Filed: December 20, 1992
    Date of Patent: March 31, 1998
    Assignee: The Board of Regents of the University of Oklahoma
    Inventors: George P. Hemstreet, III, Robert E. Hurst, Rebecca B. Bonner, Jian Yu Rao