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.v1
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DOI: 10.4121/19574959
Datacite citation style:
Kislaya, Ankur (2022): Data underlying the research on particle manipulation using hydrodynamic forcing, using a-priori particle manipulation algorithm and without Proportional-Integration-Derivative (PID) control. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19574959.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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 

History

  • 2022-05-06 first online, published, posted

Publisher

4TU.ResearchData

Format

The zip file contains .tiff image files and .m MATLAB codes

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering-3mE, Department of Process & Energy, Laboratory for Aero and Hydrodynamics

DATA

Files (6)