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Conferences > Microscopy > 2022 > MW4A > MW4A.5

Automated virtual staining, segmentation and classification of deep ultraviolet (UV) microscopy images for hematological analysis

Nischita Kaza, Ashkan Ojaghi, and Francisco E. Robles

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Abstract

We present a deep learning based automated framework to virtually stain single-channel deep-ultraviolet microscopy (UV) images of blood smears, and segment and classify white blood cells for fast, label-free hematological analysis.

© 2022 The Author(s)

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