Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical Imaging

Luyao Ma,Jiyoon Yi,Nicharee Wisuthiphaet,Mason Earles,Nitin Nitin

Applied and Environmental Microbiology（2022）

引用 3|浏览12

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摘要

A simple, cost-effective, and rapid method is desired to identify potential pathogen contamination in food products and thus prevent foodborne illnesses and outbreaks. This study combined artificial intelligence (AI) and optical imaging to detect bacteria at the microcolony stage within 3 h of inoculation.

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关键词

foodborne pathogen,machine learning,microbial indicator,microcolony,multispecies classification,rapid detection

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