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Cited by 474

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

Innovations in optical microfluidic technologies for point-of-care diagnostics

Myers, Frank B., Lee, Luke P.·2008·Lab on a Chip

Abstract

Despite a growing focus from the academic community, the field of microfluidics has yet to produce many commercial devices for point-of-care (POC) diagnostics. One of the main reasons for this is the difficulty in producing low-cost, sensitive, and portable optical detection systems. Although electrochemical methods work well for certain applications, optical detection is generally regarded as superior and is the method most widely employed in laboratory clinical chemistry. Conventional optical systems, however, are costly, require careful alignment, and do not translate well to POC devices. Furthermore, many optical detection paradigms such as absorbance and fluorescence suffer at smaller geometries because the optical path length through the sample is shortened. This review examines the innovative techniques which have recently been developed to address these issues. We highlight microfluidic diagnostic systems which demonstrate practical integration of sample preparation, analyte enrichment, and optical detection. We also examine several emerging detection paradigms involving nanoengineered materials which do not suffer from the same miniaturization disadvantages as conventional measurements.

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Metadata

Authors
Myers, F. B., & Lee, L. P.
Venue
Lab on a Chip
Published
2008
Volume
8
Issue
12
Pages
2015
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2115910755
Cited by
474
References
2
FWCI
20.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Innovations in optical microfluidic technologies for point-of-care diagnostics. https://app.cochat.ai/papers/10.1039/b812343h
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Myers, F. B., & Lee, L. P. (2008). Innovations in optical microfluidic technologies for point-of-care diagnostics. Lab on a Chip. https://doi.org/10.1039/b812343h

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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.