Fluorescence-activated droplet sorting (FADS): efficient microfluidic cell sorting based on enzymatic activity.

By Jean-Christophe Baret, Oliver J. Miller, V. Taly, M. Ryckelynck, A. El-Harrak, L. Frenz, Christian Rick, M. Samuels, J. B. Hutchison, J. Agresti and 3 more. Lab on a Chip, 2009

901 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8ef1e166c6fdabb259fef0d5b62fe0657011609e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Allon M. Klein
2. David A. Weitz
3. Jean-Christophe Baret
4. Chwee Teck Lim
5. Jongyoon Han
6. Valentine Svensson
7. Rahul Satija
8. Richard B. Fair

In Electrical and Electronic Engineering

1. David A. Weitz
2. Jean-Christophe Baret
3. Jongyoon Han
4. Richard B. Fair
5. Anton P. J. Middelberg
6. Chun‐Xia Zhao
7. Chang Q. Sun

Citations in the corpus

• Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (2015, positive): “This already low error rate ( 4%) could be further reduced by dilution of the cell suspensions, or by sorting singlet droplets (Baret et al., 2009).”
• Microfluidics for cell separation (2010, methodology): “Redrawn with permission from [6], copyright 2009, The Royal Society of Chemistry 1002 Med Biol Eng Comput (2010) 48:999–1014”
• Ultrahigh-throughput screening in drop-based microfluidics for directed evolution (2010, background): “3), thus only one in 10(5) of the original mutants is active (17).”