We present a method to generate multiple virtual stains on an image of label-free tissue using a single deep neural network according to a user-defined micro-structure map. The input to this network comes from two sources: (i) autofluorescence microscopy images of the unlabeled tissue, (ii) a user-defined digital-staining-matrix. This digital-staining-matrix indicates which stain is to be virtually-generated for each pixel, and can be used to create a micro-structured stain map, or virtually blend stains together. We experimentally validated this approach using blind-testing of label-free kidney tissue sections, and successfully generated combinations of H and E, Masson’s Trichome stain, and Jones silver stain.
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