Ziath uses Artificial Intelligence to facilitate empty well detection
Ziath reports on the development of Artificial Intelligence that enables discrimination between empty wells in sample tube racks from wells with a tube present which may have an obscured or poorly rendered barcode. This work, done in conjunction with the University of Hertfordshire (UK), is part of a program of development for the next generation […]
