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Centrifuged Blood Inspection Application Note

Deep learning-based image analysis can ascertain whether centrifuged blood has been effectively separated into distinct phases such as plasma, buffy coat, and red blood cells and classify samples by the criteria used in processing. The Cognex Deep Learning classification tool trains on annotated images of different classes until it successfully conceptualizes and generalizes the normal appearance of different phases.

A flipbook image of the centrifuged blood application note

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