1. A method of locating morphology in a tissue sample, comprises the steps of: obtaining a first, second, and third tissue sample, each removed from an organism; taking a microscope to each said first, second, and third tissue sample and digitizing magnified image of said first tissue sample, said second, and said third tissue sample; receiving a selection of at least one superpixel of said image of said first tissue sample; receiving a named morphology for said at least one superpixel and converting said at least one superpixel into a first feature vector; extracting superpixels of said image of said second tissue sample and converting each superpixel of said second image of said second tissue into second feature vectors; finding, using a processor carrying out instructions, within said second feature vectors of said second tissue, a nearest match feature vector to said first feature vector; and indicating that a superpixel of said second image associated with said nearest match feature vector is possibly a representation of said named morphology; after receiving confirmation of a name of said named morphology from a viewer for said named morphology a threshold number of minimum times, a name of said named morphology becomes unchangeable for future scanned superpixels determined to be associated with said named morphology; and wherein said third tissue sample has a third superpixel with a feature vector indicated as being a nearest match to a feature vector found in one of said first or said second tissue samples; further wherein said third superpixel and corresponding superpixels associated with said match feature vector of said first or said second tissue sample are unnamed; exhibiting at least one of said third superpixel and said corresponding superpixels; requesting a name for said at least one of said third superpixel and said corresponding superpixels; and providing said name at a future time when a feature vector is found corresponding to said third superpixel.