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On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity

2025-08-06

Abstract excerpt

Virtual staining, or in-silico-labeling, has been proposed to computationally generate synthetic fluorescence images from label-free images by use of deep learning-based image-to-image translation networks. In most reported studies, virtually stained images have been assessed only using traditional image quality measures such as structural similarity or signal-to-noise ratio. However, in biomedical imaging, images...

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Literature Corpus work
7b4e3444-962c-51f8-810f-ea117e44e37f
DOI
10.1101/2025.08.04.668552
Open publication

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On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network CapacityDOI 10.1101/2025.08.04.668552
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