Challenge: Build a 40x slide scanner designed for Deep Learning with cell level precision for under $1000

Background: Existing slide scanners are designed to have a pathologist look at digital image of the slide on a computer screen instead of a microscope

Reality: Pathologists have a very difficult job to quickly review a set of slides for a patient using a microscope to look for visual indicators to make an accurate diagnosis

Solution: The pathologist would review slides and make an initial diagnosis that would be entered into SlideMap. The slides are then scanned and using expert trained deep learning algorithms to confirm or reject the initial diagnosis. If the diagnosis is not confirmed then a map of key features on the slide are presented to the pathologist to review the slide using a microscope