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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Veröffentlicht in:	Scientific reports 2019-05, Vol.9 (1), p.8114, Article 8114
Hauptverfasser:	Hadikhani, Pooria, Borhani, Navid, H. Hashemi, S. Mohammad, Psaltis, Demetri
Format:	Artikel
Sprache:	eng
Schlagworte:	639/166/988 639/766/189 Flow rates Humanities and Social Sciences Information processing Microfluidics multidisciplinary Neural networks Science Science (multidisciplinary) Surface tension Viscosity
Online-Zugang:	Volltext
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