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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Detalhes bibliográficos
Publicado no:Biomed J
Main Authors: Croxatto, Antony, Marcelpoil, Raphaël, Orny, Cédrick, Morel, Didier, Prod'hom, Guy, Greub, Gilbert
Formato: Artigo
Idioma:Inglês
Publicado em: Chang Gung University 2017
Assuntos:
Original Article
Acesso em linha: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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