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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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| Publicat a: | Biomed J |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Chang Gung University
2017
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| Matèries: | |
| Accés en línia: | 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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