High-throughput multiplexed fluorescence-activated droplet sorting

被引:0
作者
Ouriel Caen
Simon Schütz
M. S. Suryateja Jammalamadaka
Jérémy Vrignon
Philippe Nizard
Tobias M. Schneider
Jean-Christophe Baret
Valérie Taly
机构
[1] Paris Descartes University,INSERM UMR
[2] Equipe labellisée Ligue Nationale contre le cancer,S1147, CNRS SNC5014
[3] Ecole Polytechnique Fédérale de Lausanne,Emergent Complexity in Physical Systems Laboratory (ECPS)
[4] University Bordeaux,CNRS
[5] CRPP,undefined
[6] UMR 5031,undefined
来源
Microsystems & Nanoengineering | / 4卷
关键词
Droplet Population; Sorter Design; Channel Outside; Channel Sorting; Droplet Library;
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摘要
Fluorescence-activated droplet sorting (FADS) is one of the most important features provided by droplet-based microfluidics. However, to date, it does not allow to compete with the high-throughput multiplexed sorting capabilities offered by flow cytometery. Here, we demonstrate the use of a dielectrophoretic-based FADS, allowing to sort up to five different droplet populations simultaneously. Our system provides means to select droplets of different phenotypes in a single experimental run to separate initially heterogeneous populations. Our experimental results are rationalized with the help of a numerical model of the actuation of droplets in electric fields providing guidelines for the prediction of sorting designs for upscaled or downscaled microsystems.
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