Gauri A Gholap

US Patent:

7979212, Jul 12, 2011

Filed:

Jan 31, 2005

Appl. No.:

11/048541

Inventors:

Abhijeet S. Gholap - Cupertino CA, US
Gauri A. Gholap - Cupertino CA, US
Sanford H. Barsky - Columbus OH, US
Madhura Vipra - Prune, IN
Suhas Hanmantrao Patil - Prune, IN
Prithviraj Jadhav - San Jose CA, US
Jayant Abhyankar - San Jose CA, US

Assignee:

Ventana Medical Systems, Inc. - Tucson AZ

International Classification:

G01N 33/48
G06K 9/00

US Classification:

702 19, 128922, 382133, 702 20, 703 11

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).

US Patent:

8068988, Nov 29, 2011

Filed:

May 19, 2005

Appl. No.:

11/132931

Inventors:

Abhijeet S. Gholap - San Jose CA, US
Gauri A. Gholap - San Jose CA, US
Prithviraj Jadhav - Pune, IN
Sanford H. Barsky - Columbus OH, US
Chiruvolu V. K. Rao - Pune, IN
Madhura Vipra - Pune, IN

Assignee:

Ventana Medical Systems, Inc. - Tucson AZ

International Classification:

G01N 33/48
C12Q 1/68
A61B 5/04

US Classification:

702 19, 702 20, 600544, 435 6

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.

US Patent:

8428887, Apr 23, 2013

Filed:

Nov 9, 2011

Appl. No.:

13/292290

Inventors:

Abhijeet S. Gholap - San Jose CA, US
Gauri A. Gholap - San Jose CA, US
Prithviraj Jadhav - Kothrud, IN
Sanford H. Barsky - Columbus OH, US
Chiruvolu V. K. Rao - Pune, IN
Madhura Vipra - Pune, IN

Assignee:

Ventana Medical Systems, Inc. - Tucson AZ

International Classification:

G01N 33/48

US Classification:

702 19

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.

US Patent:

8515683, Aug 20, 2013

Filed:

Apr 4, 2011

Appl. No.:

13/079719

Inventors:

Abhijeet S. Gholap - San Jose CA, US
Gauri A. Gholap - San Jose CA, US
Chiruvolu V. K. Rao - Pune, IN
Sanford H. Barsky - Columbus OH, US
Madhura Vipra - Pune, IN
Gurunath Kamble - Pune, IN
Suhas Manmantrao Patil - Pune, IN
Prithviraj Jadhav - Pune, IN

Assignee:

Ventana Medical Systems, Inc. - Tucson AZ

International Classification:

G01N 33/48

US Classification:

702 19

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.

US Patent:

20050136509, Jun 23, 2005

Filed:

Sep 10, 2004

Appl. No.:

10/938314

Inventors:

Gauri Gholap - San Jose CA, US
Abhijeet Gholap - San Jose CA, US

Assignee:

Bioimagene, Inc. - San Jose CA

International Classification:

C12Q001/68
G06F019/00
G01N033/48
G01N033/50
G01N001/30

US Classification:

435040500, 382128000, 702019000

Abstract:

A method and system analyzing tissue or cell samples stored on laboratory slides or other media to identify properties of medical predictive and diagnostic relevance. The method and system includes automatically analyzing plural digital images created from plural biological tissue samples to which a staining reagent or a an immunohistochemical (IHC) compound has been applied, automatically quantitatively analyzing the relevant properties of the digital images, and creating interpretive data, images and reports resulting from such analysis.

US Patent:

20050136549, Jun 23, 2005

Filed:

Oct 15, 2004

Appl. No.:

10/966071

Inventors:

Abhijeet Gholap - San Jose CA, US
Gauri Gholap - San Jose CA, US
C. Rao - San Jose CA, US
Sanford Barsky - Los Angeles CA, US
Prithviraj Jadhav - San Jose CA, US
Jayant Abhyankar - San Jose CA, US
Madhura Vipra - Prune, IN

Assignee:

Bioimagene, Inc. - San Jose CA

International Classification:

C12Q001/00
G01N033/566

US Classification:

436501000

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.

US Patent:

20050265588, Dec 1, 2005

Filed:

Feb 3, 2005

Appl. No.:

11/050035

Inventors:

Abhijeet Gholap - Cupertino CA, US
Gauri Gholap - Cupertino CA, US
C. Rao - Prune, IN
Madhura Vipra - Prune, IN
Deepak Pardeshi - Prune, IN
Prithviraj Jadhav - Prune, IN
Jayant Abhyankar - San Jose CA, US

Assignee:

Bioimagene, Inc. - San Jose CA

International Classification:

G06K009/00
G06K009/46

US Classification:

382128000, 382191000

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.

US Patent:

20060014238, Jan 19, 2006

Filed:

Mar 27, 2005

Appl. No.:

11/091614

Inventors:

Abhijeet Gholap - San Jose CA, US
Gauri Gholap - San Jose CA, US
C. Rao - Pune, IN
Sanford Barsky - Columbus OH, US
Madhura Vipra - Pune, IN
Gurunath Kamble - Pune, IN
Suhas Patil - Pune, IN
Prithviraj Jadhav - Pune, IN

Assignee:

Bioimagene, Inc. - San Mateo CA

International Classification:

G01N 1/30
G01N 33/48

US Classification:

435040500, 702019000

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.