Network architecture of the virtual mIHC staining model. (IMAGE)
Caption
This system used a cGAN architecture to design a virtual mIHC staining model that rapidly transforms label-free AF images (DAPI, FITC, TxRed, and Cy5) of tissue samples into their corresponding BF images for ERG, PanCK, and H&E virtual staining. The cGAN architecture includes 2 subnetworks, namely, a generator (G) and a discriminator (D). To enable the multiplexing feature for this virtual staining model, a DSM is concatenated with the label-free input images.
Credit
Ozcan Lab@UCLA.
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