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Aperio Microvessel Analysis Algorithm – Detect & Measure Angiogenesis

Analyzing capillary and microvessel infrastructure is critical in many disease areas. With whole slide scanning and the Aperio Microvessel Analysis Algorithm, a tedious manual counting task can be automated and standardized. Automatically detect and quantify microvessels stained with endothelial markers (e.g. CD31, CD34), generating multiple measurements such as vessel area, perimeter, and density per tissue area.

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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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Remove subjectivity and variability

Manual review of microvessels is inherently subjective, and subject to inter- and intra-observer variability. With the Aperio Microvessel Analysis Algorithm, data is quantitative, standardized, and reproducible, so you know you are getting consistent results.

Pick your stain precisely

The Aperio Microvessel Analysis Algorithm uses color deconvolution to detect the chromogen staining microvessels in tissue. The algorithm can help you identify the exact RGB values for your stain, ensuring the deconvolution works accurately on your slides.

Control for sample variance

You have control over the inputs, so you can adjust for tissue preparation and staining variations. Set minimum and maximum staining thresholds, complete partial vessel perimeters, and join up vessel fragments, so you see the true number of vessels in your tissue.

Get the details you need

Outputs are detailed and quantitative, giving you a comprehensive dataset on your slides. View different mark-up masks to look at your results in different ways, and output histograms of the data you want, including vessel perimeter, vessel area, lumen area, and total vascular area.

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