Ventana Medical Systems, Inc.

Lou Dietz

Larry E Morrison

Srinivas Chukka

Joerg Bredno

Ronald T Kurnik

Anindya Sarkar

Gregory Loney

Jim F Martin

Kurt Kuhlmann

Christopher E Todd

Suhas Hanmantrao Patil

Bikash Sabata

Sujit Siddheshwar Chivate

Lokesh Tatke

Pascal Bamford

Olcay Sertel

Glenn Stark

Elizabeth Little

Suraj Somwanshi

Barry Rodriguez

Disclosed herein are embodiments of imaging biological specimens. An imaging system can include a microscope for directly viewing the biological specimen and a multi-spectral imaging apparatus for outputting digitally enhanced images, near-video rate imaging, and/or videos of the specimen. An imaging system can include a digital scanner that digitally processes images to produce a composite image with enhanced color contrast of features of interest.

Digitally enhanced microscopy for multiplexed histology

An imaging system that can include a microscope for directly viewing a biological specimen and a multi-spectral imaging apparatus for outputting digitally enhanced images, near-video rate imaging, and/or videos of the specimen. An imaging system that can include a digital scanner that digitally processes images to produce a composite image with enhanced color contrast of features of interest.

The subject disclosure presents systems and methods for separating colors in an image by automatically and adaptively adjusting reference vectors based on information specific to the assay being imaged, resulting in an optimized unmixing process that provides stain information that is physically and physiologically plausible. The reference vectors are optimized iteratively, based on minimizing non-negative color contributions, background contributions, high-frequencies in color channels specific to background or unwanted fluorescence, signals from known immunohistochemical markers, and pairs of stains known to carry physiologically independent information. Adjustments to the reference vectors may be allowed within a range that is predetermined based on measuring colors from multiple input images.

Image adaptive physiologically plausible color separation

Processing of images acquired via fluorescence microscopy by identifying broadband and other undesired signals from the component signals of a scanned image, and processing selected regions of the image that are known to contain signals of interest, thereby extracting or identifying desired signals while subtracting undesired signals. One or more broadband signals are recognized by their unique signature and ubiquitous dispersion through the image. Regions of the scanned image may be tagged as consisting of predominantly broadband signals and are ignored during a spectral unmixing process. The remaining regions of the image, or selected regions of the image known to contain desired signals, may be unmixed, and the plurality of reference spectra subtracted from the components to extract or identify the target signals. The set of target signals may be refined by eliminating known or obvious sources of noise by, for instance, being compared to known or ideal sets of signals from similar materials.

Spectral unmixing

Provided herein are systems methods including a design of a microscope slide scanner for digital pathology applications which provides high quality images and automated batch-mode operation at low cost. The instrument architecture is advantageously based on a convergence of high performance, yet low cost, computing technologies, interfaces and software standards to enable high quality digital microscopy at very low cost. Also provided is a method based in part on a stitching method that allows for dividing an image into a number of overlapping tiles and reconstituting the image with a magnification without substantial loss of accuracy. A scanner is employed in capturing snapshot images. The method allows for overlapping images captured in consecutive snapshots.

Digital microscope slide scanning system and methods

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Mountain View, CA, United States of America

Lou Dietz