Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity

Efforts to mitigate the COVID-19 crisis revealed that fast, accurate, and scalable testing is crucial for curbing the current impact and that of future pandemics. We propose an optical method for directly imaging unlabeled viral particles and using deep learning for detection and classification. An...

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Detalles Bibliográficos
Autores principales: Goswami, Neha, He, Yuchen R., Deng, Yu-Heng, Oh, Chamteut, Sobh, Nahil, Valera, Enrique, Bashir, Rashid, Ismail, Nahed, Kong, Hyunjoon, Nguyen, Thanh H., Best-Popescu, Catherine, Popescu, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408039/
https://www.ncbi.nlm.nih.gov/pubmed/34465726
http://dx.doi.org/10.1038/s41377-021-00620-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408039/
https://www.ncbi.nlm.nih.gov/pubmed/34465726
http://dx.doi.org/10.1038/s41377-021-00620-8

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