High-throughput multiplexed fluorescence-activated droplet sorting

被引:46
|
作者
Caen, Ouriel [1 ]
Schutz, Simon [2 ]
Jammalamadaka, M. S. Suryateja [1 ]
Vrignon, Jeremy [3 ]
Nizard, Philippe [1 ]
Schneider, Tobias M. [2 ]
Baret, Jean-Christophe [3 ]
Taly, Valerie [1 ]
机构
[1] Paris Descartes Univ, Equipe Labellisee Ligue Natl Canc, CNRS SNC5014, INSERM UMR S1147, Paris, France
[2] Ecole Polytech Fed Lausanne, Emergent Complex Phys Syst Lab ECPS, CH-1015 Lausanne, Switzerland
[3] Univ Bordeaux, CNRS, CRPP, UMR 5031, 115 Ave Schweitzer, F-33600 Pessac, France
来源
关键词
PROTEIN-SIGNALING NETWORKS; MAMMALIAN-CELLS; MICROFLUIDICS; MANIPULATION; SELECTION; BREAKUP; ASSAYS;
D O I
10.1038/s41378-018-0033-2
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
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.
引用
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页数:10
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