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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 […]