University of Medicine and Dentistry of New Jersey

Other

David J Foran

Wenjin Chen

Peter Meer

Dorin Cominciu

A tissue microarray imaging system autonomously images, analyzes, and stores data for samples in a tissue microarray. The system may include a tissue microarray, a robotic microscope, and an imaging workstation that executes software to automatically control operation of the microscope to capture images from the microarray and analyze image results. A low magnification may be used to register samples within the microarray and obtain coordinates for each tissue specimen. Progressively higher magnifications may be used to analyze images of each registered specimen. Where multiple dyes are used to stain specimens, color separation techniques may be applied to independently measure and analyze each staining intensity. Images and quantitative data from the images may then be stored in a relational database for subsequent review. The system may be local, or may be Web-based for distributed control and sharing of results.

Systems for analyzing microtissue arrays

The systems described herein autonomously image, analyze, and store date for samples in a tissue microarray. The system may include a tissue microarray, a robotic microscope, and an imaging workstation that executes software to automatically control operation of the microscope to capture images from the microarray and analyze image results. A low magnification may be used to register samples within the microarray and obtain coordinates for each tissue specimen. Progressively higher magnifications may be used to analyze images of each registered specimen. Images and quantitative data from the images may then be stored in a relational database for subsequent review. The system may be local, or may be Web-based for distributed control and sharing of results.

The systems described herein include tools for computer-assisted evaluation of objective characteristics of pathologies. A diagnostic system arranged according to the teachings herein provides computer support for those tasks well suited to objective analysis, along with human decision making where substantial discretion is involved. Collaborative diagnosis may be provided through shared access to data and shared control over a diagnostic tool, such as a telemicroscope, and messaging service for clinicians who may be at remote locations. These aspects of the system, when working in cooperation with one another, may achieve improved diagnostic accuracy or early detection for pathologies such as lymphoma.

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Short Hills, NJ, United States of America

David J Foran