Ventana Medical Systems, Inc.

Bioimagene, Inc.

Imageprovision Technology Pvt. Ltd.

Prithviraj Jadhav

Abhijeet Sharadchandra Gholap

Chiruvolu V K Rao

Gauri A Gholap

Sanford H Barsky

Madhura Vipra

Suhas Hanmantrao Patil

Aparna Joshi

Gurunath Kamble

Sandeep Kulkarni

Ankita Saxena

Satyakam Sawaimoon

Pooja Kalshetti

Jayant Abhyankar

Saket Kumar

Amitabha Basu

Gauri A Naik

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.

Method and system for detection and classification of particles based on processing of microphotographic images

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.

Method and system for automated detection of immunohistochemical (IHC) patterns

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.

Method for automated processing of digital images of tissue micro-arrays (TMA)

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).

Method and system for morphology based mitosis identification and classification of digital images

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.

Method and system for digital image based tissue independent simultaneous nucleus cytoplasm and membrane quantitation

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.

Method and system for storing, indexing and searching medical images using anatomical structures of interest

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Pune, India

Prithviraj Jadhav