High-throughput multiplexed fluorescence-activated droplet sorting

Ouriel Caen (1) , Simon Schütz (2) , M. S. Suryateja Jammalamadaka (1) , Jérémy Vrignon (3) , Philippe Nizard (1) , Tobias M Schneider (2) , Jean-Christophe Baret (3) , Valérie Taly (1)

1 MEPPOT - U1147 - Médecine Personnalisée, Pharmacogénomique, Optimisation Thérapeutique
2 ECPS - Emergent Complexity in Physical Systems Laboratory [Lausanne, Switzerland]
3 CRPP - Centre de Recherche Paul Pascal

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.

Domaines: Matière Condensée [cond-mat]

Ouriel Caen, Simon Schütz, M. S. Suryateja Jammalamadaka, Jérémy Vrignon, Philippe Nizard, et al.. High-throughput multiplexed fluorescence-activated droplet sorting. Microsystems & Nanoengineering, 2018, 4 (1), pp.33. ⟨10.1038/s41378-018-0033-2⟩. ⟨hal-02118950⟩