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Learning from droplet flows in microfluidic channels using deep neural networks
A non-intrusive method is presented for measuring different fluidic properties in a microfluidic chip by optically monitoring the flow of droplets. A neural network is used to extract the desired information from the images of the droplets. We demonstrate the method in two applications: measurement...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6544611/ https://ncbi.nlm.nih.gov/pubmed/31148559 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-44556-x |
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