Ventana Medical Systems, Inc.

Ellen Suzue

Srinivas Chukka

Anindya Sarkar

Jim F Martin

Pascal Bamford

Olcay Sertel

Harshal Varangaonkar

Michael S Barnes

Joerg Bredno

Auranuch Lorsakul

Christoph Guetter

A computer-based specimen analyzer () is configured to detect a level of expression of genes in a cell sample by detecting dots that represent differently stained genes and chromosomes in a cell. The color of the stained genes and the chromosomes is enhanced and filtered to produce a dot mask that defines areas in the image that are genes, chromosomes, or non-genetic material. Metrics are determined for the dots and/or pixels in the image of the cell in areas corresponding to the dots. The metrics are fed to a classifier that separates genes from chromosomes. The results of the classifier are counted to estimate the expression level of genes in the tissue samples.

System and method for detecting gene expression levels in tissue samples

A digital pathology system and associated method and computer program product provide a quantitative analysis of entire tissue slides as well as intuitive, effective, fast, and precise quantification of biomarker expressions across relevant areas of the entire tissue slides. The digital pathology system enables a novel workflow that allows the user to efficiently outline clinically relevant morphology in its entirety, including solid tumor areas. Quantitative analysis results are then efficiently and intuitively provided to the user for all tissue content (i.e., millions of cells) within seconds. This efficiency is made possible by a pre-computation step that computes and stores image analysis results for later retrieval. Visualizing vast amount of data effectively is another component of the system that provides information and confidence to the user about the biomarker expression levels.

Digital pathology system and associated workflow for providing visualized whole-slide image analysis

Lab color space silver and red in situ hybridization based techniques for detecting genes in tissue samples

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Sunnyvale, CA, United States of America

Ellen Suzue