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Rapid antibiotic susceptibility testing based on bacterial motion patterns with long short-term memory neural networks
Antibiotic resistance is an increasing public health threat. To combat it, a fast method to determine the antibiotic susceptibility of infecting pathogens is required. Here we present an optical imaging-based method to track the motion of single bacterial cells and generate a model to classify activ...
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| Publicado no: | IEEE Sens J |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7241544/ https://ncbi.nlm.nih.gov/pubmed/32440258 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JSEN.2020.2967058 |
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