The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Droplet microfluidics for high-throughput biological assays
Abstract
Droplet microfluidics offers significant advantages for performing high-throughput screens and sensitive assays. Droplets allow sample volumes to be significantly reduced, leading to concomitant reductions in cost. Manipulation and measurement at kilohertz speeds enable up to 10(8) samples to be screened in one day. Compartmentalization in droplets increases assay sensitivity by increasing the effective concentration of rare species and decreasing the time required to reach detection thresholds. Droplet microfluidics combines these powerful features to enable currently inaccessible high-throughput screening applications, including single-cell and single-molecule assays.
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Cites
Metagenomic Analysis of the Human Distal Gut Microbiome
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Current Protocols in Immunology
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Quantum-dot-tagged microbeads for multiplexed optical coding of biomolecules
Han, M., Gao, X., Su, J. Z., & Nie, S. (2001) · Nature Biotechnology · doi:10.1038/90228 · Cited by 2,631
Formation of droplets and bubbles in a microfluidic T-junction—scaling and mechanism of break-up
Garstecki, P., Fuerstman, M. J., Stone, H. A., & Whitesides, G. M. (2006) · Lab on a Chip · doi:10.1039/b510841a · Cited by 2,339
Formation of dispersions using “flow focusing” in microchannels
Anna, S. L., Bontoux, N., & Stone, H. A. (2003) · Applied Physics Letters · doi:10.1063/1.1537519 · Cited by 2,302
Microfluidic Large-Scale Integration
Thorsen, T., Maerkl, S. J., & Quake, S. R. (2002) · Science · doi:10.1126/science.1076996 · Cited by 2,222
Dynamic Pattern Formation in a Vesicle-Generating Microfluidic Device
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Self-citation
Cited by
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
Klein, A. M., Mazutis, L., Akartuna, I., Tallapragada, N., Veres, A., Li, V., Peshkin, L., Weitz, D. A., & Kirschner, M. W. (2015) · Cell · doi:10.1016/j.cell.2015.04.044 · Cited by 3,356
Self-citationSingle-cell analysis and sorting using droplet-based microfluidics
Mazutis, L., Gilbert, J., Ung, W. L., Weitz, D. A., Griffiths, A. D., & Heyman, J. A. (2013) · Nature Protocols · doi:10.1038/nprot.2013.046 · Cited by 1,355
Self-citationSingle-cell sequencing-based technologies will revolutionize whole-organism science
Shapiro, E., Biezuner, T., & Linnarsson, S. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3542 · Cited by 1,177
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
Rotem, A., Ram, O., Shoresh, N., Sperling, R. A., Goren, A., Weitz, D. A., & Bernstein, B. E. (2015) · Nature Biotechnology · doi:10.1038/nbt.3383 · Cited by 854
Self-citationSingle-cell analysis tools for drug discovery and development
Heath, J. R., Ribas, A., & Mischel, P. S. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.16 · Cited by 473
Metadata
- Authors
- Guo, M. T., Rotem, A., Heyman, J. A., & Weitz, D. A.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 12
- Issue
- 12
- Pages
- 2146
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2117179092
- Cited by
- 1,040
- References
- 67
- FWCI
- 41.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guo, M. T., Rotem, A., Heyman, J. A., & Weitz, D. A. (2012). Droplet microfluidics for high-throughput biological assays. Lab on a Chip. https://doi.org/10.1039/c2lc21147e
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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.