Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks‡
Sign Up to like & getrecommendations! Published in 2020 at "Applied Microbiology and Biotechnology"
DOI: 10.1007/s00253-020-10387-4
Abstract: Foodborne pathogens have become ongoing threats in the food industry, whereas their rapid detection and classification at an early stage are still challenging. To address early and rapid detection, hyperspectral microscope imaging (HMI) technology combined… read more here.
Keywords: foodborne bacteria; neural networks; convolutional neural; microscope imaging ... See more keywords
Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of microbiological methods"
DOI: 10.2139/ssrn.4399171
Abstract: Identifying live foodborne bacteria is essential for ensuring food safety and preventing foodborne illnesses. This study investigated the use of hyperspectral microscope imaging and deep learning methods to accurately distinguish between live and dead foodborne… read more here.
Keywords: live dead; hyperspectral microscope; dead foodborne; foodborne bacteria ... See more keywords