4.7 Article

Motile cells as probes for characterizing acoustofluidic devices

Journal

LAB ON A CHIP
Volume 21, Issue 3, Pages -

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d0lc01025a

Keywords

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Funding

  1. NSF [CMMI-1633971, CBET-1944063]
  2. Spencer T. and Ann W. Olin Fellowship for Women in Graduate Study
  3. Washington University in St. Louis
  4. Institute of Materials Science and Engineering

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Acoustic microfluidics is a versatile solution for particle manipulation in medicine and biology, but current technologies are mainly limited to research laboratories. The translation of this technology to clinical and industrial settings requires improved consistency, repeatability, and straightforward experimental assessment tools that are not yet available.
Acoustic microfluidics has emerged as a versatile solution for particle manipulation in medicine and biology. However, current technologies are largely confined to specialized research laboratories. The translation of acoustofluidics from research to clinical and industrial settings requires improved consistency and repeatability across different platforms. Performance comparisons will require straightforward experimental assessment tools that are not yet available. We introduce a method for characterizing acoustofluidic devices in real-time by exploiting the capacity of swimming microorganisms to respond to changes in their environment. The unicellular alga, Chlamydomonas reinhardtii, is used as an active probe to visualize the evolving acoustic pressure field within microfluidic channels and chambers. In contrast to more familiar mammalian cells, C. reinhardtii are simple to prepare and maintain, and exhibit a relatively uniform size distribution that more closely resembles calibration particles; however, unlike passive particles, these motile cells naturally fill complex chamber geometries and redistribute when the acoustic field changes or is turned off. In this way, C. reinhardtii cells offer greater flexibility than conventional polymer or glass calibration beads for in situ determination of device operating characteristics. To illustrate the technique, the varying spatial density and distribution of swimming cells are correlated to the acoustic potential to automatically locate device resonances within a specified frequency range. Peaks in the correlation coefficient of successive images not only identify the resonant frequencies for various geometries, but the peak shape can be related to the relative strength of the resonances. Qualitative mapping of the acoustic field strength with increasing voltage amplitude is also shown. Thus, we demonstrate that dynamically responsive C. reinhardtii enable real-time measurement and continuous monitoring of acoustofluidic device performance.

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