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Fluorescence Activated Cell Sorting of Plant Protoplasts
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High-throughput multiplexed fluorescence-activated droplet sorting.

Ouriel Caen1, Simon Schütz2, M S Suryateja Jammalamadaka1

  • 11INSERM UMR-S1147, CNRS SNC5014, Paris Descartes University, Equipe labellisée Ligue Nationale contre le cancer, Paris, France.

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|May 7, 2019
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Summary
This summary is machine-generated.

This study introduces a novel dielectrophoretic fluorescence-activated droplet sorting (FADS) system capable of simultaneously sorting five distinct droplet populations. This advancement significantly enhances multiplexed sorting capabilities in droplet microfluidics for heterogeneous sample separation.

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Area of Science:

  • Biotechnology
  • Microfluidics
  • Analytical Chemistry

Background:

  • Droplet-based microfluidics offers valuable features like fluorescence-activated droplet sorting (FADS).
  • Current FADS systems lack the high-throughput multiplexed sorting capabilities of flow cytometry.
  • Simultaneous sorting of multiple droplet populations remains a challenge.

Purpose of the Study:

  • To develop a dielectrophoretic-based FADS system for simultaneous multiplexed droplet sorting.
  • To enhance the sorting capacity beyond current FADS limitations.
  • To enable the separation of heterogeneous cell populations in a single experimental run.

Main Methods:

  • Utilized dielectrophoresis for fluorescence-activated droplet sorting.
  • Developed a microfluidic device capable of sorting multiple droplet populations concurrently.
  • Employed a numerical model to simulate droplet actuation in electric fields.

Main Results:

  • Demonstrated simultaneous sorting of up to five distinct droplet populations.
  • Successfully separated initially heterogeneous droplet populations based on phenotype.
  • Validated experimental findings with a numerical model.

Conclusions:

  • Dielectrophoretic FADS offers a viable alternative to flow cytometry for high-throughput multiplexed sorting.
  • The developed system enables efficient separation of diverse droplet populations.
  • The numerical model provides a predictive tool for designing scaled microfluidic sorting systems.