Patents by Inventor Prithviraj Jadhav

Prithviraj Jadhav 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).

  • Publication number: 20180260610
    Abstract: Disclosed herein is a methodology, including the method and system to enable the same, for detection and classification of microscopic particles by an image analysis approach employing grayscale pixel intensity contour data generated from microphotographs, identifying discrete particles therein by applying user-defined filters, and outputting a statistically-processed report of the outcome thereof.
    Type: Application
    Filed: September 21, 2016
    Publication date: September 13, 2018
    Inventors: Prithviraj JADHAV, Sandeep KULKARNI, Saket KUMAR, Ankita SAXENA, Pooja KALSHETTI
  • Patent number: 8515683
    Abstract: A method and system for automated detection of immunohistochemical (IHC) patterns. The method and system is able to automatically differentiate an epithelial cell part from a non-epithelial cell part of a digital image of a tissue sample to which an IHC compound has been applied. The method and system help to automatically correct errors made in a manual interpretation of a pathological or other manual analysis of tissue samples for diseases such as a human cancer.
    Type: Grant
    Filed: April 4, 2011
    Date of Patent: August 20, 2013
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Chiruvolu V. K. Rao, Sanford H. Barsky, Madhura Vipra, Gurunath Kamble, Suhas Manmantrao Patil, Prithviraj Jadhav
  • Patent number: 8428887
    Abstract: A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.
    Type: Grant
    Filed: November 9, 2011
    Date of Patent: April 23, 2013
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Prithviraj Jadhav, Sanford H. Barsky, Chiruvolu V. K. Rao, Madhura Vipra
  • Publication number: 20120093387
    Abstract: A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.
    Type: Application
    Filed: November 9, 2011
    Publication date: April 19, 2012
    Applicant: Ventana Medical Systems, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Prithviraj Jadhav, Sanford H. Barsky, C. V. K. Rao, Madhura Vipra
  • Publication number: 20110311123
    Abstract: A method and system for automated detection of immunohistochemical (IHC) patterns. The method and system is able to automatically differentiate an epithelial cell part from a non-epithelial cell part of a digital image of a tissue sample to which an IHC compound has been applied. The method and system help to automatically correct errors made in a manual interpretation of a pathological or other manual analysis of tissue samples for diseases such as a human cancer.
    Type: Application
    Filed: April 4, 2011
    Publication date: December 22, 2011
    Applicant: Ventana Medical Systems, Inc., a Delaware Corporation
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Chiruvolu V.K. Rao, Sanford H. Barsky, Madhura Vipra, Gurunath Kamble, Suhas Manmantrao Patil, Prithviraj Jadhav
  • Patent number: 8068988
    Abstract: A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.
    Type: Grant
    Filed: May 19, 2005
    Date of Patent: November 29, 2011
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Prithviraj Jadhav, Sanford H. Barsky, Chiruvolu V. K. Rao, Madhura Vipra
  • Patent number: 7979212
    Abstract: A method and system for morphology based mitosis identification and classification of digital images. Luminance parameters such as intensity, etc. from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are analyzed and corrected if necessary. Morphological parameters (e.g., size, elongation ratio, parallelism, boundary roughness, convex hull shape, etc.) from individual components within the biological sample are analyzed. A medical conclusion (e.g., type and count of mitotic cells) or a life science and biotechnology experiment conclusion is determined from the analyzed luminance and morphological parameters. The method and system may be used to develop applications for automatically obtaining a medical diagnosis (e.g., a carcinoma diagnosis).
    Type: Grant
    Filed: January 31, 2005
    Date of Patent: July 12, 2011
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Chiruvolu V. K. Rao, Sanford H. Barsky, Madhura Vipra, Suhas Hanmantrao Patil, Prithviraj Jadhav, Jayant Abhyankar
  • Patent number: 7941275
    Abstract: A method and system for automated detection of immunohistochemical (IHC) patterns. The method and system is able to automatically differentiate an epithelial cell part from a non-epithelial cell part of a digital image of a tissue sample to which an IHC compound has been applied. The method and system help to automatically correct errors made in a manual interpretation of a pathological or other manual analysis of tissue samples for diseases such as a human cancer.
    Type: Grant
    Filed: March 27, 2005
    Date of Patent: May 10, 2011
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Chiruvolu V. K. Rao, Sanford H. Barsky, Madhura Vipra, Gurunath Kamble, Suhas Manmantrao Patil, Prithviraj Jadhav
  • Patent number: 7760927
    Abstract: A method and system for automatic digital image based tissue independent simultaneous nucleus, cytoplasm and membrane quantitation. Plural types of pixels comprising cell components including at least cell cytoplasm and cell membranes from a biological tissue sample to which a chemical compound has been applied and has been processed to remove background pixels and pixels including counterstained components are simultaneously identified. The identified cell components pixels are automatically classified to determine a medical conclusion such as a human breast cancer, a human prostrate cancer or an animal cancer.
    Type: Grant
    Filed: February 23, 2006
    Date of Patent: July 20, 2010
    Assignee: BioImagene, Inc.
    Inventors: Abhijeet S. Gholap, Gauri A. Gholap, Aparna Joshi, Amitabha Basu, Chiruvolu V. K. Rao, Prithviraj Jadhav
  • Patent number: 7756309
    Abstract: An automated method and system for method and system for indexing, storing and searching medical images using indexed anatomical structures of interest. The method and system provides automated screening of medical images using anatomical structures of interest using a pre-determined hierarchical indexing and searching scheme.
    Type: Grant
    Filed: July 26, 2006
    Date of Patent: July 13, 2010
    Assignee: BioImagene, Inc.
    Inventors: Abhijeet S. Gholap, Aparna Joshi, Chiruvolu V. K. Rao, Gauri A. Naik, Prithviraj Jadhav, Satyakam Sawaimoon
  • Publication number: 20070025606
    Abstract: An automated method and system for method and system for indexing, storing and searching medical images using indexed anatomical structures of interest. The method and system provides automated screening of medical images using anatomical structures of interest using a pre-determined hierarchical indexing and searching scheme.
    Type: Application
    Filed: July 26, 2006
    Publication date: February 1, 2007
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Aparna Joshi, C. Rao, Gauri Naik, Prithviraj Jadhav, Satyakam Sawaimoon
  • Publication number: 20070019854
    Abstract: A method and system method and system automated digital image analysis of prostrate neoplasms using morphologic patterns. The method and system provide automated screening of prostate needle biopsy specimens in a digital image and automated diagnosis of prostatectomy specimens.
    Type: Application
    Filed: May 10, 2006
    Publication date: January 25, 2007
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Gauri Naik, Aparna Joshi, Satyakam Sawaimoon, Chivate Siddheshwar, Prithviraj Jadhav, C. Rao
  • Publication number: 20060188140
    Abstract: A method and system for automatic digital image based tissue independent simultaneous nucleus, cytoplasm and membrane quantitation. Plural types of pixels comprising cell components including at least cell cytoplasm and cell membranes from a biological tissue sample to which a chemical compound has been applied and has been processed to remove background pixels and pixels including counterstained components are simultaneously identified. The identified cell components pixels are automatically classified to determine a medical conclusion such as a human breast cancer, a human prostrate cancer or an animal cancer.
    Type: Application
    Filed: February 23, 2006
    Publication date: August 24, 2006
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Gauri Gholap, Aparna Joshi, Amitabha Basu, C.V.K. Rao, Prithviraj Jadhav
  • Publication number: 20060015262
    Abstract: A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.
    Type: Application
    Filed: May 19, 2005
    Publication date: January 19, 2006
    Inventors: Abhijeet Gholap, Gauri Gholap, Prithviraj Jadhav, Sanford Barsky, C. Rao, Madhura Vipra
  • Publication number: 20060014238
    Abstract: A method and system for automated detection of immunohistochemical (IHC) patterns. The method and system is able to automatically differentiate an epithelial cell part from a non-epithelial cell part of a digital image of a tissue sample to which an IHC compound has been applied. The method and system help to automatically correct errors made in a manual interpretation of a pathological or other manual analysis of tissue samples for diseases such as a human cancer.
    Type: Application
    Filed: March 27, 2005
    Publication date: January 19, 2006
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Gauri Gholap, C. Rao, Sanford Barsky, Madhura Vipra, Gurunath Kamble, Suhas Patil, Prithviraj Jadhav
  • Publication number: 20050265588
    Abstract: A method and system for automated digital fluorescent in situ hybridization (FISH) image analysis. Luminance parameters from a digital image of a biological tissue sample to which a fluorescent compound (e.g., LSI-HER-2/neu and CEP-17 dyes) have been applied are analyzed to determine plural regions of interest. Fluorescent color signals in the plural regions of interest including plural cell nuclei are identified, classified and grouped into plural groups. Each of the plural groups is validated based on pre-defined conditions. A medical diagnosis or prognosis or medical, life science or biotechnology experiment conclusion determined using a count of plural ratios of validated fluorescent color signals within each of the cell nuclei within the plural groups.
    Type: Application
    Filed: February 3, 2005
    Publication date: December 1, 2005
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Gauri Gholap, C. Rao, Madhura Vipra, Deepak Pardeshi, Prithviraj Jadhav, Jayant Abhyankar
  • Publication number: 20050266395
    Abstract: A method and system for morphology based mitosis identification and classification of digital images. Luminance parameters such as intensity, etc. from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are analyzed and corrected if necessary. Morphological parameters (e.g., size, elongation ratio, parallelism, boundary roughness, convex hull shape, etc.) from individual components within the biological sample are analyzed. A medical conclusion (e.g., type and count of mitotic cells) or a life science and biotechnology experiment conclusion is determined from the analyzed luminance and morphological parameters. The method and system may be used to develop applications for automatically obtaining a medical diagnosis (e.g., a carcinoma diagnosis).
    Type: Application
    Filed: January 31, 2005
    Publication date: December 1, 2005
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Gauri Gholap, C. Rao, Sanford Barsky, Madhura Vipra, Suhas Patil, Prithviraj Jadhav, Jayant Abhyankar
  • Publication number: 20050136549
    Abstract: A method and system for automatically determining diagnostic saliency of digital images for medical and/or pathological purposes. Luminance parameters (e.g. intensity, etc.) from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are automatically analyzed and automatically corrected if necessary. Morphological parameters (e.g., cell membrane, cell nucleus, mitotic cells, etc.) from individual components within the biological sample are automatically analyzed on the digital image. A medical conclusion (e.g., a medical diagnosis or prognosis) is automatically determined from the analyzed luminance and morphological parameters.
    Type: Application
    Filed: October 15, 2004
    Publication date: June 23, 2005
    Applicant: Bioimagene, Inc.
    Inventors: Abhijeet Gholap, Gauri Gholap, C. Rao, Sanford Barsky, Prithviraj Jadhav, Jayant Abhyankar, Madhura Vipra