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Cited by 623

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Blood-on-a-Chip

Open access
Toner, Mehmet, Irimia, Daniel·2005·Annual Review of Biomedical Engineering

Abstract

▪ Abstract Accurate, fast, and affordable analysis of the cellular component of blood is of prime interest for medicine and research. Yet, most often sample preparation procedures for blood analysis involve handling steps prone to introducing artifacts, whereas analysis methods commonly require skilled technicians and well-equipped, expensive laboratories. Developing more gentle protocols and affordable instruments for specific blood analysis tasks is becoming possible through the recent progress in the area of microfluidics and lab-on-a-chip-type devices. Precise control over the cell microenvironment during separation procedures and the ability to scale down the analysis to very small volumes of blood are among the most attractive capabilities of the new approaches. Here we review some of the emerging principles for manipulating blood cells at microscale and promising high-throughput approaches to blood cell separation using microdevices. Examples of specific single-purpose devices are described together with integration strategies for blood cell separation and analysis modules.

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Crossref · 10.1146/annurev.bioeng.7.011205.135108

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Metadata

Authors
Toner, M., & Irimia, D.
Venue
Annual Review of Biomedical Engineering
Published
2005-08-15
Volume
7
Issue
1
Pages
77-103
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
OpenAlex
W2160738932
Cited by
623
References
1
FWCI
2.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Blood-on-a-Chip. https://app.cochat.ai/papers/10.1146/annurev.bioeng.7.011205.135108
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Toner, M., & Irimia, D. (2005). Blood-on-a-Chip. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev.bioeng.7.011205.135108

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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.