For pathologists, identifying damaged or diseased tissue is a time-consuming process of poring over samples under a microscope. But collaborative research between veterinarians and electrical engineers at Penn State could significantly speed up the process. Using image recognition technology similar to what powers photo-editing software and social media to recognize faces, a team led by Vishal Monga, assistant professor of electrical engineering, with veterinarians at the University's Animal Diagnostic Laboratory (ADL), has developed an automated method of classifying histopathological images.