https://doi.org/10.1051/epjconf/201921510002
Learning The Fluid/Flow Properties Using Microfluidics
1
Optics Laboratory, School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
2
Computational Science and Engineering Laboratory, ETH Zurich, 8092 Zurich, Switzerland.
* Corresponding author: pooria.hadikhani@epfl.ch
Published online: 10 September 2019
Deep neural networks (DNN) are employed to measure the flow rate and the concentration of the liquid using the images of the droplets in a microfluidic device. The trained networks are able to measure flow rates and concentrations with good accuracy.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
