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High-throughput multiplexed fluorescence-activated droplet sorting
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 dielectr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220162/ https://www.ncbi.nlm.nih.gov/pubmed/31057921 http://dx.doi.org/10.1038/s41378-018-0033-2 |
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author | Caen, Ouriel Schütz, Simon Jammalamadaka, M. S. Suryateja Vrignon, Jérémy Nizard, Philippe Schneider, Tobias M. Baret, Jean-Christophe Taly, Valérie |
author_facet | Caen, Ouriel Schütz, Simon Jammalamadaka, M. S. Suryateja Vrignon, Jérémy Nizard, Philippe Schneider, Tobias M. Baret, Jean-Christophe Taly, Valérie |
author_sort | Caen, Ouriel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6220162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62201622019-05-03 High-throughput multiplexed fluorescence-activated droplet sorting Caen, Ouriel Schütz, Simon Jammalamadaka, M. S. Suryateja Vrignon, Jérémy Nizard, Philippe Schneider, Tobias M. Baret, Jean-Christophe Taly, Valérie Microsyst Nanoeng Article 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. Nature Publishing Group UK 2018-10-22 /pmc/articles/PMC6220162/ /pubmed/31057921 http://dx.doi.org/10.1038/s41378-018-0033-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Caen, Ouriel Schütz, Simon Jammalamadaka, M. S. Suryateja Vrignon, Jérémy Nizard, Philippe Schneider, Tobias M. Baret, Jean-Christophe Taly, Valérie High-throughput multiplexed fluorescence-activated droplet sorting |
title | High-throughput multiplexed fluorescence-activated droplet sorting |
title_full | High-throughput multiplexed fluorescence-activated droplet sorting |
title_fullStr | High-throughput multiplexed fluorescence-activated droplet sorting |
title_full_unstemmed | High-throughput multiplexed fluorescence-activated droplet sorting |
title_short | High-throughput multiplexed fluorescence-activated droplet sorting |
title_sort | high-throughput multiplexed fluorescence-activated droplet sorting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220162/ https://www.ncbi.nlm.nih.gov/pubmed/31057921 http://dx.doi.org/10.1038/s41378-018-0033-2 |
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