Detecting foodborne pathogens with darkfield hyperspectral microscopy

Alexandre Fong; George Shu; Barry McDonogh; Bosoon Park

doi:10.1117/12.2584913

4 October 2020 Detecting foodborne pathogens with darkfield hyperspectral microscopy

Alexandre Fong, George Shu, Barry McDonogh, Bosoon Park

Proceedings Volume 11576, Hyperspectral Imaging and Applications; 115760C (2020) https://doi.org/10.1117/12.2584913
Event: SPIE Photonex and Vacuum Expo, 2020, Online Only

Abstract

The presence of pathogenic microorganisms such as salmonella, listeria and E. coli in foods is a major threat to consumer safety. The failure to detect these pathogens can result in severe outbreaks of foodborne illness. There are several technologies utilized in food pathogen detection today including plating, nucleic acid-based polymerase chain reaction techniques and immunoassays. While these technologies have their merits, each approach requires significant sample incubation and total time to answer of 18 – 72hrs. HinaLea is working in collaboration with the USDA to develop a system which will significantly accelerate the identification of foodborne pathogens. The system combines darkfield microscopy, hyperspectral imaging, machine learning and automation in a standalone unit. Our vision is to move towards real-time identification of pathogens in the food production environment.

Conference Presentation

Citation Download Citation

Alexandre Fong, George Shu, Barry McDonogh, and Bosoon Park "Detecting foodborne pathogens with darkfield hyperspectral microscopy", Proc. SPIE 11576, Hyperspectral Imaging and Applications, 115760C (4 October 2020); https://doi.org/10.1117/12.2584913

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