Diagnosis of cancer is dependent on a pathologist reviewing tissue samples at 40X magnification with studies that show the concordance rate of diagnosis is only 75% among expert pathologists.

SlideMap is developing a low cost scanner optimized for deep learning. Deep learning enables accurate tissue classification from 40X scans of a patient's tumor. Commercial scanners can costs $30,000-$250,000 and limit the adoption of digital pathology.