Virtual staining simply takes the traditional histochemical process and digitizes it. While the process involves biopsy, tissue sectioning, and slide preparation, we diverge from the traditional approach. Utilizing a standard fluorescence scanner, we capture autofluorescence images, which are then digitized. We also utilize brightfield scanners and capture brightfield images (ReStain). Through machine learning algorithms, these images are transformed into virtual stains. This innovative method enables pathologists to obtain multiple stains from a single tissue section.