Towards automated detection, semi-quantification and identification of microbial growth in clinical bacteriology: A proof of concept

BACKGROUND: Automation in microbiology laboratories impacts management, workflow, productivity and quality. Further improvements will be driven by the development of intelligent image analysis allowing automated detection of microbial growth, release of sterile samples, identification and quantifica...

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Vydáno v:Biomed J
Hlavní autoři: Croxatto, Antony, Marcelpoil, Raphaël, Orny, Cédrick, Morel, Didier, Prod'hom, Guy, Greub, Gilbert
Médium: Artigo
Jazyk:Inglês
Vydáno: Chang Gung University 2017
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Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6138813/
https://ncbi.nlm.nih.gov/pubmed/29433835
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bj.2017.09.001
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