Ventana Medical Systems, Inc.

Providence Health & Services - Oregon

Alisa Tubbs

Michael S Barnes

Ting Chen

Christophe Chefd'hotel

Carlo Bifulco

Srinivas Chukka

Joerg Bredno

William Kenneth Day

Jim F Martin

Thomas M Grogan

Yao Nie

Noemi Sebastiao

Nelson Alexander

Shalini Singh

Stacey Stanislaw

Hiro Nitta

Christophe Chefd'Hotel

Robert Ochs

Paolo Ascierto

Michael Barnes

Paolo A Ascierto

Christophe CHEFD´HOTEL

Jim Martin

William Day

Christophe Chefd´hotel

Leigh A Henricksen

A system and method of displaying of multiple simultaneous views of a same region of a biological tissue sample. Logical instructions are executed by a processor to perform operations such as receiving a plurality of images of the biological tissue sample, converting the plurality of images to a common reference frame based on the individual metadata of each image, and arranging the plurality of images into a display pattern for simultaneous viewing of different aspects of the imaged biological tissue sample on a display screen. The plurality of images is produced by preprocessing images of the biological tissue sample. Each image shows a view mode of a same region of the biological tissue sample, and each image contains metadata that describe spatial orientation, such as the translation, rotation, and magnification, of the image to bring the plurality of images to a common view.

Image processing systems and methods for displaying multiple images of a biological specimen

This disclosure describes methods, kits, and systems for scoring the immune response to cancer through examination of tissue infiltrating lymphocytes (TILs). Methods of scoring the immune response in cancer using tissue infiltrating lymphocytes include detecting CD3, CD8, CD20, and FoxP3 within the sample and scoring the detection manually or scoring the digital images of the staining with the aid of image analysis and algorithms.

Methods, kits, and systems for scoring the immune response to cancer

Described herein are methods for co-expression analysis of multiple markers in a tissue sample comprising: computing a heat map of marker expression for each of a plurality of single marker channel images, wherein each of the plurality of single marker channel images comprise a single marker; identifying one or more candidate regions of interest in each heat map of marker expression; computing overlay masks comprising the identified one or more candidate regions of interest from each heat map of marker expression; determining one or more co-localized regions of interest from the overlay masks; mapping the one or more co-localized regions of interest to a same coordinate position in each of the plurality of single marker channel images; and estimating a number of cells in at least one of the determined one or more co-localized regions of interest in each of the plurality of single marker channel images.

Systems and methods for co-expression analysis in immunoscore computation

Systems and methods for automatic FOV selection in immunoscore computation that involve reading images for individual markers from an unmixed multiplex slide or single stain slides, and computing the tissue region mask from the individual marker image. The heat map of each marker is determined by applying the low pass filter on the individual marker image channel and selecting the top K highest intensity regions from the heat map as the candidate FOVs for each marker. The candidate FOVs from the individual marker images are merged together in the same coordinate system by either adding all of the FOVs together or by only adding the FOVs from the selected marker images depending on the user's choice, and registering all the individual marker images to a common coordinate system and transferring the FOVs back to the original images.

Image processing method and system for analyzing a multi-channel image obtained from a biological tissue sample being stained by multiple stains

Embodiments disclosed herein are directed, among other things, to imaging systems, methods, and apparatuses for automatically identifying fields of view (FOVs) for regions in an image encompassing tumor are disclosed. In embodiments and in further aspects of the present invention, a computer-implemented method is disclosed for a tumor region based immune score computation. The method, in accordance with the present invention, involves identifying regions, for example, tumor areas or regions around a tumor area, partitioning a whole slide image or portion of a whole slide image into multiple regions related to the tumor, selecting FOVs within each identified region, and computing a number of cells present in each FOV. An immune score and/or immune-related score may be generated based on the cells counted in each FOV.

Systems and methods for generating fields of view

Growing community of inventors

Phoenix, AZ, United States of America

Alisa Tubbs