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Cited by 557

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Droplet Microfluidics—A Tool for Single‐Cell Analysis

Joensson, Haakan N., Andersson Svahn, Helene·2012·Angewandte Chemie International Edition

Abstract

Droplet microfluidics allows the isolation of single cells and reagents in monodisperse picoliter liquid capsules and manipulations at a throughput of thousands of droplets per second. These qualities allow many of the challenges in single‐cell analysis to be overcome. Monodispersity enables quantitative control of solute concentrations, while encapsulation in droplets provides an isolated compartment for the single cell and its immediate environment. The high throughput allows the processing and analysis of the tens of thousands to millions of cells that must be analyzed to accurately describe a heterogeneous cell population so as to find rare cell types or access sufficient biological space to find hits in a directed evolution experiment. The low volumes of the droplets make very large screens economically viable. This Review gives an overview of the current state of single‐cell analysis involving droplet microfluidics and offers examples where droplet microfluidics can further biological understanding.

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Crossref · 10.1002/anie.201200460

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Metadata

Authors
Joensson, H. N., & Andersson Svahn, H.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2012-11-23
Volume
51
Issue
49
Pages
12176-12192
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2106342149
Cited by
557
References
8
FWCI
17.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Droplet Microfluidics—A Tool for Single‐Cell Analysis. https://app.cochat.ai/papers/10.1002/anie.201200460
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Joensson, H. N., & Andersson Svahn, H. (2012). Droplet Microfluidics—A Tool for Single‐Cell Analysis. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201200460

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.