AIMC Topic: Listeria

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Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning.

Science advances Jan 8, 2025
Gram staining has been a frequently used staining protocol in microbiology. It is vulnerable to staining artifacts due to, e.g., operator errors and chemical variations. Here, we introduce virtual Gram staining of label-free bacteria using a trained ...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Staining and Labeling Bacteria Escherichia coli Microscopy Phenazines Listeria Gentian Violet
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Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms.

Food research international (Ottawa, Ont.) Mar 28, 2019
Foodborne pathogens such as Listeria spp. contain the ability to survive and multiply in poultry farming environments, which provides a route of contamination for poultry processing environments and final poultry products. An understanding of the eff...
Machine Learning Animals Prevalence Feces Chickens Models, Statistical Decision Trees Poultry Products Listeria
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Semisynthetic Phenol Derivatives Obtained from Natural Phenols: Antimicrobial Activity and Molecular Properties.

Journal of agricultural and food chemistry Dec 29, 2017
Semisynthetic phenol derivatives were obtained from the natural phenols: thymol, carvacrol, eugenol, and guaiacol through catalytic oxychlorination, Williamson synthesis, and aromatic Claisen rearrangement. The compounds characterization was carried ...
Anti-Bacterial Agents Microbial Sensitivity Tests Escherichia coli Staphylococcus aureus Salmonella typhimurium Eugenol Monoterpenes Phenol Cymenes Thymol Listeria
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