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Cited by 227

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Surface‐enhanced Raman scattering for medical diagnostics and biological imaging

Open access
Vo‐Dinh, Tuan, Yan, Fei, Wabuyele, Musundi B.·2005·Journal of Raman Spectroscopy

Abstract

We present recent development and applications of a surface‐enhanced Raman scattering (SERS) technology for use in medical diagnostics and biological imaging. For medical diagnostics, we use Raman‐active dye‐labeled DNA gene probes and nanostructured metallic substrates as SERS‐active platforms. The surface‐enhanced Raman gene probes can be used to detect DNA biotargets (e.g. gene sequences, bacteria and viral DNA) via hybridization to DNA sequences complementary to these probes. The SERS gene probes eliminate the need for radioactive labels and have great potential to provide both sensitivity, selectivity and label multiplexing for DNA sequencing and clinical assays. We also describe a hyperspectral surface‐enhanced Raman imaging (HSERI) system that combines imaging capabilities with SERS detection to identify cellular components with high spatial and temporal resolution. The HSERI system's application to biological imaging is demonstrated using Raman dye‐labeled silver nanoparticles in cellular systems. Copyright © 2005 John Wiley & Sons, Ltd.

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Metadata

Authors
Vo‐Dinh, T., Yan, F., & Wabuyele, M. B.
Venue
Journal of Raman Spectroscopy
Publisher
Wiley
Published
2005-06
Volume
36
Issue
6-7
Pages
640-647
ISSN
  • 0377-0486 (ISSN-L)
  • 1097-4555
OpenAlex
W2063349124
Cited by
227
References
3
FWCI
8.61
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Surface‐enhanced Raman scattering for medical diagnostics and biological imaging. https://app.cochat.ai/papers/10.1002/jrs.1348
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Vo‐Dinh, T., Yan, F., & Wabuyele, M. B. (2005). Surface‐enhanced Raman scattering for medical diagnostics and biological imaging. Journal of Raman Spectroscopy. https://doi.org/10.1002/jrs.1348

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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.