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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Detalles Bibliográficos
Autores principales: Croxatto, Antony, Marcelpoil, Raphaël, Orny, Cédrick, Morel, Didier, Prod'hom, Guy, Greub, Gilbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chang Gung University 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138813/
https://www.ncbi.nlm.nih.gov/pubmed/29433835
http://dx.doi.org/10.1016/j.bj.2017.09.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138813/
https://www.ncbi.nlm.nih.gov/pubmed/29433835
http://dx.doi.org/10.1016/j.bj.2017.09.001

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