Frontiers in Bioengineering and Biotechnology (Jan 2020)

Impedance Spectroscopy as a Tool for Monitoring Performance in 3D Models of Epithelial Tissues

  • Tatiana Gerasimenko,
  • Sergey Nikulin,
  • Sergey Nikulin,
  • Galina Zakharova,
  • Andrey Poloznikov,
  • Andrey Poloznikov,
  • Vladimir Petrov,
  • Vladimir Petrov,
  • Ancha Baranova,
  • Ancha Baranova,
  • Ancha Baranova,
  • Alexander Tonevitsky,
  • Alexander Tonevitsky,
  • Alexander Tonevitsky

DOI
https://doi.org/10.3389/fbioe.2019.00474
Journal volume & issue
Vol. 7

Abstract

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In contrast to traditional 2D cell cultures, both 3D models and organ-on-a-chip devices allow the study of the physiological responses of human cells. These models reconstruct human tissues in conditions closely resembling the body. Translation of these techniques into practice is hindered by associated labor costs, a need which may be remedied by automation. Impedance spectroscopy (IS) is a promising, automation-compatible label-free technology allowing to carry out a wide range of measurements both in real-time and as endpoints. IS has been applied to both the barrier cultures and the 3D constructs. Here we provide an overview of the impedance-based analysis in different setups and discuss its utility for organ-on-a-chip devices. Most attractive features of impedance-based assays are their compatibility with high-throughput format and supports for the measurements in real time with high temporal resolution, which allow tracing of the kinetics. As of now, IS-based techniques are not free of limitations, including imperfect understanding of the parameters that have their effects on the impedance, especially in 3D cell models, and relatively high cost of the consumables. Moreover, as the theory of IS stems from electromagnetic theory and is quite complex, work on popularization and explanation of the method for experimental biologists is required. It is expected that overcoming these limitations will lead to eventual establishing IS based systems as a standard for automated management of cell-based experiments in both academic and industry environments.

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