Data underlying the research on particle manipulation using hydrodynamic forcing, using a-priori particle manipulation algorithm and without Proportional-Integration-Derivative (PID) control.
doi: 10.4121/19574959
The reseach objective is to present a microfluidic approach to achieve the dynamic control of particle pathlines within a flow through microfluidic device. Our approach combines the design of a flow-through microfluidic flow cell with the ability to manipulate the streamlines of the flow and an optimization procedure to find a priori optimal particle path-lines. The experimental raw images were recorded with a sCMOS camera (PCO) with a pixel pitch of 6.5 μm. The camera was mounted on a microscope (Nikon Eclipse Ti) with a 1x objective. The acquisition frequency was 5 Hz corresponding to an average in-plane displacement of 4-6 pixels between two consecutive recordings. The zip file contains the raw images and the MATLAB script of the following experiments by using hydrodynamic forcing only:
1. Single particle deflection upward
2. Single particle deflection downward
3. Single particle trap
4. Two particles separation
5. Two particles coming closer to eachother
6. Two particles interchanging their position
- 2022-05-06 first online, published, posted
DATA
- 8,135,117,851 bytesMD5:
fb023edc4ef81acb026d01e4e74019e4
Particle_deflection_down.zip - 12,793,556,160 bytesMD5:
4c530b72bf80527f0b55c9fbbc53e231
Particle_deflection_up.zip - 5,888,934,736 bytesMD5:
b292e492afe047819f6a0af3e9251a0c
Particle_interchange.zip - 2,606,232,914 bytesMD5:
26108a3d9dea0e2de9db43511d16ada4
Particle_separation.zip - 6,173,731,162 bytesMD5:
7929cca59256e3adfad09862c9b91ddb
Particle_trap.zip - 16,802,531,655 bytesMD5:
081ad0931abcd06826e754bad7bfa2b2
Particles_coming_close_to_each_other.zip -
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52,400,104,478 bytes unzipped