Spatiotemporal quantification of acoustic cell patterning using Voronoï tessellation.

Lab Chip

Department of Materials, Department of Bioengineering, and Institute for Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.

Published: February 2019

AI Article Synopsis

  • Acoustic patterning with ultrasound standing waves offers a promising biotechnology for creating organized cell systems, useful for developing organoid cultures and complex tissues.
  • However, challenges like cell array uniformity and disruption factors remain, with no thorough assessment of acoustically-patterned cell quality conducted until now.
  • This study introduces Voronoï tessellation to create metrics for evaluating the impact of various parameters on cell patterns, aiming to enhance quality control and process tracking in acoustic patterning.

Article Abstract

Acoustic patterning using ultrasound standing waves has recently emerged as a potent biotechnology enabling the remote generation of ordered cell systems. This capability has opened up exciting opportunities, for example, in guiding the development of organoid cultures or the organization of complex tissues. The success of these studies is often contingent on the formation of tightly-packed and uniform cell arrays; however, a number of factors can act to disrupt or prevent acoustic patterning. Yet, to the best of our knowledge, there has been no comprehensive assessment of the quality of acoustically-patterned cell populations. In this report we use a mathematical approach, known as Voronoï tessellation, to generate a series of metrics that can be used to measure the effect of cell concentration, pressure amplitude, ultrasound frequency and biomaterial viscosity upon the quality of acoustically-patterned cell systems. Moreover, we extend this approach towards the characterization of spatiotemporal processes, namely, the acoustic patterning of cell suspensions and the migration of patterned, adherent cell clusters. This strategy is simple, unbiased and highly informative, and we anticipate that the methods described here will provide a systematic framework for all stages of acoustic patterning, including the robust quality control of devices, statistical comparison of patterning conditions, the quantitative exploration of parameter limits and the ability to track patterned tissue formation over time.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386121PMC
http://dx.doi.org/10.1039/c8lc01108gDOI Listing

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