Inside Cover: A low‐cost,automated parasite diagnostic system via a portable,robotic microscope and deep learning (J. Biophotonics 9/2019)

A low‐cost, automated microscope is combined with machine learning to bring veterinary parasite diagnosis to the point of need. The authors present an inexpensive robotic microscope that automatically focuses, scans, and images a large area McMaster chamber. A deep learning image segmentation pipeline identifies and counts eggs of parasitic worms and single‐celled parasites in goats, dogs, and monkeys, yielding >96% diagnostic accuracy without the need for a trained user. Further details can be found in the article by Yaning Li, Rui Zheng, Yizhen Wu, et al. ( e201800410 ).