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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
High-throughput droplet digital PCR system for absolute quantitation of DNA copy number
Hindson, B. J., Ness, K. D., Masquelier, D. A., Belgrader, P., Heredia, N. J., Makarewicz, A. J., Bright, I. J., Lucero, M. Y., Hiddessen, A. L., Legler, T. C., et al. (2011) · Analytical Chemistry · doi:10.1021/ac202028g · Cited by 2,792
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
Newman, J. R. S., Ghaemmaghami, S., Ihmels, J., Breslow, D. K., Noble, M., DeRisi, J. L., & Weissman, J. S. (2006) · Nature · doi:10.1038/nature04785 · Cited by 1,483
Millisecond Kinetics on a Microfluidic Chip Using Nanoliters of Reagents
Song, H., & Ismagilov, R. F. (2003) · Journal of the American Chemical Society · doi:10.1021/ja0354566 · Cited by 693
Microdroplet-based PCR enrichment for large-scale targeted sequencing
Tewhey, R., Warner, J. B., Nakano, M., Libby, B., Medkova, M., David, P. H., Kotsopoulos, S. K., Samuels, M. L., Hutchison, J. B., Larson, J. W., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1583 · Cited by 454
Amplification of complex gene libraries by emulsion PCR
Williams, R., Peisajovich, S. G., Miller, O. J., Magdassi, S., Tawfik, D. S., & Griffiths, A. D. (2006) · Nature Methods · doi:10.1038/nmeth896 · Cited by 358
Du, W., Li, L., Nichols, K. P., & Ismagilov, R. F. (2009) · Lab on a Chip · doi:10.1039/b908978k · Cited by 351
A global view of protein expression in human cells, tissues, and organs
Pontén, F., Gry, M., Fagerberg, L., Lundberg, E., Asplund, A., Berglund, L., Oksvold, P., Björling, E., Hober, S., Kampf, C., et al. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.93 · Cited by 222
Cited by
Magnetic digital microfluidics – a review
Zhang, Y., & Nguyen, N.-T. (2017) · Lab on a Chip · doi:10.1039/c7lc00025a · Cited by 364
Recent Advances in Droplet Microfluidics
Ding, Y., Howes, P. D., & deMello, A. J. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b05047 · Cited by 357
Digital Assays Part I: Partitioning Statistics and Digital PCR
Basu, A. S. (2017) · SLAS Technology · doi:10.1177/2472630317705680 · Cited by 300
Kang, D.-K., Ali, M. M., Zhang, K., Huang, S. S., Peterson, E., Digman, M. A., Gratton, E., & Zhao, W. (2014) · Nature Communications · doi:10.1038/ncomms6427 · Cited by 297
Controlled 3D culture in Matrigel microbeads to analyze clonal acinar development
Dolega, M. E., Abeille, F., Picollet-D'hahan, N., & Gidrol, X. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.02.042 · Cited by 91
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Droplet Microfluidics—A Tool for Single‐Cell Analysis. https://app.cochat.ai/papers/10.1002/anie.201200460
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.