The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.
Microfluidics: reframing biological enquiry
Open accessAbstract
The underlying physical properties of microfluidic tools have led to new biological insights through the development of microsystems that can manipulate, mimic and measure biology at a resolution that has not been possible with macroscale tools. Microsystems readily handle sub-microlitre volumes, precisely route predictable laminar fluid flows and match both perturbations and measurements to the length scales and timescales of biological systems. The advent of fabrication techniques that do not require highly specialized engineering facilities is fuelling the broad dissemination of microfluidic systems and their adaptation to specific biological questions. We describe how our understanding of molecular and cell biology is being and will continue to be advanced by precision microfluidic approaches and posit that microfluidic tools — in conjunction with advanced imaging, bioinformatics and molecular biology approaches — will transform biology into a precision science.
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Cited by
The revolution of PDMS microfluidics in cellular biology
Banik, S., Uchil, A., Kalsang, T., Chakrabarty, S., Ali, M. A., Srisungsitthisunti, P., Mahato, K. K., Surdo, S., & Mazumder, N. (2023) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2022.2034733 · Cited by 84
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Metadata
- Authors
- Duncombe, T. A., Tentori, A. M., & Herr, A. E.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2015-08-21
- Volume
- 16
- Issue
- 9
- Pages
- 554-567
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W1179069838
- Cited by
- 345
- References
- 139
- FWCI
- 3.04
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
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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.
