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Two-dimensional single-cell patterning with one cell per well driven by surface acoustic waves

Author

Listed:
  • David J. Collins

    (Monash University)

  • Belinda Morahan

    (Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University)

  • Jose Garcia-Bustos

    (Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University)

  • Christian Doerig

    (Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University)

  • Magdalena Plebanski

    (Alfred Hospital Precinct, Monash University
    Monash Institute of Medical Engineering, MIME, Monash University)

  • Adrian Neild

    (Monash University)

Abstract

In single-cell analysis, cellular activity and parameters are assayed on an individual, rather than population-average basis. Essential to observing the activity of these cells over time is the ability to trap, pattern and retain them, for which previous single-cell-patterning work has principally made use of mechanical methods. While successful as a long-term cell-patterning strategy, these devices remain essentially single use. Here we introduce a new method for the patterning of multiple spatially separated single particles and cells using high-frequency acoustic fields with one cell per acoustic well. We characterize and demonstrate patterning for both a range of particle sizes and the capture and patterning of cells, including human lymphocytes and red blood cells infected by the malarial parasite Plasmodium falciparum. This ability is made possible by a hitherto unexplored regime where the acoustic wavelength is on the same order as the cell dimensions.

Suggested Citation

  • David J. Collins & Belinda Morahan & Jose Garcia-Bustos & Christian Doerig & Magdalena Plebanski & Adrian Neild, 2015. "Two-dimensional single-cell patterning with one cell per well driven by surface acoustic waves," Nature Communications, Nature, vol. 6(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9686
    DOI: 10.1038/ncomms9686
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    Cited by:

    1. Ruoqin Zhang & Xichuan Zhao & Jinzhi Li & Di Zhou & Honglian Guo & Zhi-yuan Li & Feng Li, 2024. "Programmable photoacoustic patterning of microparticles in air," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    2. Zhiyuan Zhang & Alexander Sukhov & Jens Harting & Paolo Malgaretti & Daniel Ahmed, 2022. "Rolling microswarms along acoustic virtual walls," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Jan Durrer & Prajwal Agrawal & Ali Ozgul & Stephan C. F. Neuhauss & Nitesh Nama & Daniel Ahmed, 2022. "A robot-assisted acoustofluidic end effector," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. Gazendra Shakya & Tao Yang & Yu Gao & Apresio K. Fajrial & Baowen Li & Massimo Ruzzene & Mark A. Borden & Xiaoyun Ding, 2022. "Acoustically manipulating internal structure of disk-in-sphere endoskeletal droplets," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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