A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples

We report a deep learning-enabled field-portable and cost-effective imaging flow cytometer that automatically captures phase-contrast color images of the contents of a continuously flowing water sample at a throughput of 100 mL/h. The device is based on partially coherent lens-free holographic micro...

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Detalles Bibliográficos
Autores principales: Gӧrӧcs, Zoltán, Tamamitsu, Miu, Bianco, Vittorio, Wolf, Patrick, Roy, Shounak, Shindo, Koyoshi, Yanny, Kyrollos, Wu, Yichen, Koydemir, Hatice Ceylan, Rivenson, Yair, Ozcan, Aydogan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143550/
https://www.ncbi.nlm.nih.gov/pubmed/30245813
http://dx.doi.org/10.1038/s41377-018-0067-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143550/
https://www.ncbi.nlm.nih.gov/pubmed/30245813
http://dx.doi.org/10.1038/s41377-018-0067-0

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