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Aperio Positive Pixel Count Algorithm – Simple, Accurate Color Measurement

Aperio Positive Pixel Count Algorithm

The Aperio Positive Pixel Count Algorithm quantifies the amount of a specific stain present in a scanned slide image, based on user specification of color. Number and intensity of pixels that fall within the parameters will be quantified, and these can be classified into intensity ranges as defined by the user.

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User friendly analysis

Aperio Positive Pixel Count Algorithm offers an easy-to-use workflow for tissue image analysis, with straightforward inputs, and key outputs presented in a clear, concise manner.

Analyze the right tissue

With the Aperio Positive Pixel Count Algorithm, you can select regions of interest or whole slides for analysis, including batch analysis of annotated areas or entire tissue samples.

Precise color measurement

Define Hue, Saturation and Intensity (HSI) values for your stain, providing an in-depth and accurate measurement of tissue staining strength and color.

Solutions for your research

Aperio Positive Pixel Count Algorithm is part of your complete solution from Aperio Digital Pathology, including high-resolution image capture, image and data management, and local or server-side image analysis.

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 Brochure (pdf)

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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.