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Spotting a perfect pizza is apparently too challenging for us mere mortals. Lamenting the 鈥渋naccuracy and subjectivity鈥� of quality controllers in pizza factories, Da-Wen Sun and Tadhg Brosnan of the National University of Ireland in Dublin say the task demands a more rigorous mathematical approach best done by a machine. They have turned to fuzzy logic and designed algorithms that can analyse snapshots of pizzas from digital cameras and automatically pick out rejects 鈥� the ones that just don鈥檛 look tasty enough. In two papers in the Journal of Food Engineering (vol 57, p 81 and p 91), they explain how their invention can diagnose a variety of worrisome pizza ailments, including patchy sauce, sparse coverings of toppings such as mushrooms or ham, and that bane of so many would-be perfect pizzas, a base with 鈥減oor alignment鈥�.