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Updated: Nov 5, 2025

Pneumococcus Infection of Primary Human Endothelial Cells in Constant Flow

Pneumococcus Infection of Primary Human Endothelial Cells in Constant Flow

Published on: October 31, 2019

Optimizing pressure-driven pulsatile flows in microfluidic devices.

Steffen M Recktenwald¹, Christian Wagner², Thomas John¹

¹Dynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany. steffen.recktenwald@uni-saarland.de.

|May 19, 2021

Summary

This summary is machine-generated.

Accurate pulsatile flows in microfluidics are crucial but hard to achieve. This study presents a method to correct pressure controller deviations, optimizing flow waveforms for enhanced microfluidic experiments.

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Last Updated: Nov 5, 2025

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Published on: October 31, 2019

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Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

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Published on: January 28, 2022

Area of Science:

Microfluidics
Biophysics
Fluid Dynamics

Background:

Unsteady and pulsatile flows are vital for microscale processes and physiological microfluidic studies.
Commercial pressure controllers often struggle to generate precise time-dependent flow fields, leading to waveform deviations.

Purpose of the Study:

To present a method for correcting deviations in pulsatile flow generation using commercial pressure pumps.
To optimize pulsatile flow waveforms for microfluidic applications.

Main Methods:

Analyzing the linear response of pressure control systems to sinusoidal input.
Deriving an adapted input signal to minimize output pressure deviations.
Implementing the method in standard pressure-driven microfluidic setups.

Main Results:

The developed method accurately predicts time-dependent pressure output for arbitrary pulsatile signals.
Adapted input signals significantly reduce deviations between desired and actual pressure waveforms.
Enhanced time-dependent flow of red blood cells in microchannels was demonstrated.

Conclusions:

The presented method enables accurate generation of arbitrary pulsatile flows in microfluidics without hardware modifications.
This approach optimizes pulsatile flow control for microfluidic experiments, improving physiological relevance.
Easily implementable for standard microfluidic setups.