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Cited by 738

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Microfluidic Large-Scale Integration: The Evolution of Design Rules for Biological Automation

Melin, Jessica, Quake, Stephen R.·2007·Annual Review of Biophysics and Biomolecular Structure

Abstract

Microfluidic large-scale integration (mLSI) refers to the development of microfluidic chips with thousands of integrated micromechanical valves and control components. This technology is utilized in many areas of biology and chemistry and is a candidate to replace today's conventional automation paradigm, which consists of fluid-handling robots. We review the basic development of mLSI and then discuss design principles of mLSI to assess the capabilities and limitations of the current state of the art and to facilitate the application of mLSI to areas of biology. Many design and practical issues, including economies of scale, parallelization strategies, multiplexing, and multistep biochemical processing, are discussed. Several microfluidic components used as building blocks to create effective, complex, and highly integrated microfluidic networks are also highlighted.

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Crossref · 10.1146/annurev.biophys.36.040306.132646

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Metadata

Authors
Melin, J., & Quake, S. R.
Venue
Annual Review of Biophysics and Biomolecular Structure
Published
2007-06-01
Volume
36
Issue
1
Pages
213-231
ISSN
  • 1056-8700 (ISSN-L)
  • 1545-4266
OpenAlex
W2110460556
Cited by
738
References
2
FWCI
28.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microfluidic Large-Scale Integration: The Evolution of Design Rules for Biological Automation. https://app.cochat.ai/papers/10.1146/annurev.biophys.36.040306.132646
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Melin, J., & Quake, S. R. (2007). Microfluidic Large-Scale Integration: The Evolution of Design Rules for Biological Automation. Annual Review of Biophysics and Biomolecular Structure. https://doi.org/10.1146/annurev.biophys.36.040306.132646

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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.