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IHC – Brightfield Immunohistochemistry Image Analysis

The Aperio Image Analysis IHC menu provides a broad range of solutions for quantification of single and multiplex tissue staining. Flexible algorithms are easily optimized for diverse brightfield chromogens, enabling you to customize the analysis to match your unique research needs. Accurately identify protein biomarker expression at the tissue, cellular or subcellular level.

Aperio RUO (Research Use Only) Image Analysis Algorithms have been validated by Leica Biosystems for use with .svs images from Aperio AT2, Aperio CS2, and Aperio VERSA scanners. Use of Aperio RUO Algorithms with other available scanners has not been validated, and Leica Biosystems cannot train or support customers in use of Aperio RUO Algorithms with images from these scanners.

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Main Image Cytoplasmic-analysis

Aperio Membrane Algorithm

Identify staining specific to the cell membrane, while eliminating non-specific staining in other subcellular compartments.

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Aperio Nuclear Algorithm

Quantify the intensity and amount of staining in cell nuclei, while including only cells of interest based on nuclear morphology and size.

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Aperio Cytoplasm Algorithm

Measure staining located within the cell cytoplasm, while excluding non-specific staining in the membrane or nucleus.

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Aperio Rare Event Detection Algorithm

Detect and count objects of interest, such as circulating tumor cells (CTC) or micrometastases, based on color and size.

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Aperio Microvessel Analysis Algorithm

Automatically detect and measure microvessls, and quantify overall density of vasculature in tissue.

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Aperio Color Deconvolution Algorithm

Separate color channels in multiplex stained images, to identify location, area and intensity of each stain.

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Aperio Colocalization Algorithm

Determine location of multiple stains, and automatically quantify colocalization of stains across tissue.

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Aperio VERSA

Brightfield, Fluorescence & FISH Digital Pathology Scanner

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New and relevant information, ranging from the basics to specific application know-how.

What is Digital Pathology?
Four Tips for Digital Pathology Slide Scanning
Immunohistochemistry: An Overview

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