Patents by Inventor Tatyana Zhukov

Tatyana Zhukov 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: 10818015
    Abstract: A method and system for selecting a region of interest (ROI) in a tissue or groups of cells, in which one or more of the steps can be automated. In various exemplary embodiments, the method and system can be fully-automated. In various exemplary embodiments, the method and system can be applied to centrosome analysis with excellent accuracy and precision. Centrosome analysis is an important tool in very early cancer diagnosis and cancer prognosis.
    Type: Grant
    Filed: January 28, 2019
    Date of Patent: October 27, 2020
    Assignee: Florida Analytical Imaging Solutions, LLC.
    Inventors: Dansheng Song, Tatyana A. Zhukov, Victoria Link
  • Publication number: 20200242772
    Abstract: A method and system for selecting a region of interest (ROI) in a tissue or groups of cells, in which one or more of the steps can be automated. In various exemplary embodiments, the method and system can be fully-automated. In various exemplary embodiments, the method and system can be applied to centrosome analysis with excellent accuracy and precision. Centrosome analysis is an important tool in very early cancer diagnosis and cancer prognosis.
    Type: Application
    Filed: January 28, 2019
    Publication date: July 30, 2020
    Applicant: Florida Analytical Imaging Solutions, LLC.
    Inventors: Dansheng SONG, Tatyana A. ZHUKOV, Victoria LINK
  • Patent number: 8923598
    Abstract: The subject invention concerns methods for the detection, diagnosis, and/or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and/or a prognosis module. In one embodiment, the method can be performed using an image processing system.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: December 30, 2014
    Assignee: H. Lee Moffitt Cancer Center and Research Institute
    Inventors: Tatyana A. Zhukov, Dansheng Song, Melvyn S. Tockman
  • Publication number: 20140193062
    Abstract: The subject invention concerns methods for the detection, diagnosis, and/or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and/or a prognosis module. In one embodiment, the method can be performed using an image processing system.
    Type: Application
    Filed: March 14, 2014
    Publication date: July 10, 2014
    Applicant: H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC.
    Inventors: TATYANA A. ZHUKOV, DANSHENG SONG, MELVYN S. TOCKMAN
  • Patent number: 8737715
    Abstract: The subject invention concerns methods for the detection, diagnosis, and/or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and/or a prognosis module. In one embodiment, the method can be performed using an image processing system.
    Type: Grant
    Filed: July 13, 2010
    Date of Patent: May 27, 2014
    Assignee: H. Lee Moffitt Cancer and Research Institute, Inc.
    Inventors: Tatyana A. Zhukov, Dansheng Song, Melvyn S. Tockman
  • Publication number: 20120177280
    Abstract: The subject invention concerns methods for the detection, diagnosis, and/or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and/or a prognosis module. In one embodiment, the method can be performed using an image processing system.
    Type: Application
    Filed: July 13, 2010
    Publication date: July 12, 2012
    Applicant: H. LEE MOFFITT CANCER CENTER & RESEARCH INSTITUTE, INC.
    Inventors: Tatyana A. Zhukov, Dansheng Song, Melvyn S. Tockman
  • Patent number: 8198019
    Abstract: The present invention is a method for early detection of cancer including the steps of identifying tissue from asymptomatic individuals, gathering a substantially homogenous cell population from the tissue by laser capture microdissection (LCM), analyzing the cell population with mass spectrometry and identifying predetermined peaks in the mass spectrometry associated with an overexpression of proteins in premalignant and malignant cells.
    Type: Grant
    Filed: April 3, 2003
    Date of Patent: June 12, 2012
    Assignees: University of South Florida, Ciphergen Biosystems, Inc.
    Inventors: Tatyana A. Zhukov, Melvyn S. Tockman, Roy A. Johanson
  • Patent number: 8077958
    Abstract: The present invention is a computer-aided pathological diagnosis method for the classification of cancer cells in a tissue specimen based on a digital cellular image of the tissue specimen. The method of the present invention includes the steps of, extracting the histological characteristic features of the cellular image using preprocessing algorithms having adaptive strategies to enhance the cellular image, declustering the extracted histological characteristic features of the cellular image to isolate the individual cells and the nuclei inside the cells, segmenting the declustered cellular image, labeling the segmented cellular image and classifying the cells in the labeled cellular image as cancer cells or non-cancer cells.
    Type: Grant
    Filed: July 2, 2007
    Date of Patent: December 13, 2011
    Assignee: University of South Florida
    Inventors: Wei Qian, Dansheng Song, Tatyana A. Zhukov
  • Patent number: 7655479
    Abstract: Luminescent semiconductor quantum dots (QDs) conjugated with biomolecules to serve as sensitive probes for early detection of the cancer cells, specifically for ovarian cancer and lung cancer, which represents the most lethal malignancies. The luminescence characterization of the bin-conjugated QDs with cancer specific antigens using linkage molecules. Photo-enhancement is measured at various laser density power, temperatures and laser wavelengths.
    Type: Grant
    Filed: June 30, 2005
    Date of Patent: February 2, 2010
    Assignees: University of South Florida, H. Lee Moffitt Cancer Center and Research Institute, Inc., The Regents of the University of California
    Inventors: Tatyana A. Zhukov, Sergei Ostapenko, Rebecca Sutphen, Johnathan Lancaster, Thomas A. Sellers, Jin Z. Zhang
  • Publication number: 20080166035
    Abstract: The present invention is a computer-aided pathological diagnosis method for the classification of cancer cells in a tissue specimen based on a digital cellular image of the tissue specimen. The method of the present invention includes the steps of, extracting the histological characteristic features of the cellular image using preprocessing algorithms having adaptive strategies to enhance the cellular image, declustering the extracted histological characteristic features of the cellular image to isolate the individual cells and the nuclei inside the cells, segmenting the declustered cellular image, labeling the segmented cellular image and classifying the cells in the labeled cellular image as cancer cells or non-cancer cells.
    Type: Application
    Filed: July 2, 2007
    Publication date: July 10, 2008
    Applicant: UNIVERSITY OF SOUTH FLORIDA
    Inventors: Wei Qian, Dansheng Song, Tatyana Zhukov
  • Publication number: 20060003465
    Abstract: Luminescent semiconductor quantum dots (QDs) conjugated with biomolecules to serve as sensitive probes for early detection of the cancer cells, specifically for ovarian cancer and lung cancer, which represents the most lethal malignancies. The luminescence characterization of the bin-conjugated QDs with cancer specific antigens using linkage molecules. Photo-enhancement is measured at various laser density power, temperatures and laser wavelengths.
    Type: Application
    Filed: June 30, 2005
    Publication date: January 5, 2006
    Applicant: UNIVERSITY OF SOUTH FLORIDA
    Inventors: Tatyana Zhukov, Sergei Ostapenko, Rebecca Sutphen, Johnathan Lancaster, Thomas Sellers, Jin Zhang