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

In assessing food microbial safety, the presence of Escherichia coli is a critical indicator of fecal contamination. However, conventional detection methods require the isolation of bacterial macrocolonies for biochemical or genetic characterization, which takes a few days and is labor-intensive. In...

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Detalles Bibliográficos
Autores principales: Ma, Luyao, Yi, Jiyoon, Wisuthiphaet, Nicharee, Earles, Mason, Nitin, Nitin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Food Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888199/
https://www.ncbi.nlm.nih.gov/pubmed/36533914
http://dx.doi.org/10.1128/aem.01828-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888199/
https://www.ncbi.nlm.nih.gov/pubmed/36533914
http://dx.doi.org/10.1128/aem.01828-22

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