Figure 1
From: Learning from droplet flows in microfluidic channels using deep neural networks
Using neural networks to measure fluidic properties from droplet flow patterns: (a) Schematic of the microfluidic channels (depth is 30 μm). (b) Image of droplet generation. Oil flows from the side channels and the water-IPA flows from the middle channel. (c) The two-phase pattern of the droplet generation in a microfluidic device contains information about the fluid and the flow properties. Neural networks are used to extract these properties while the main process stays intact.
