The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Advantages and limitations of Raman spectroscopy for molecular diagnostics: an update
Abstract
Over the last decade, Raman spectroscopy has gained more and more interest in research as well as in clinical laboratories. As a vibrational spectroscopy technique, it is complementary to the also well-established infrared spectroscopy. Through specific spectral patterns, substances can be identified and molecular changes can be observed with high specificity. Because of a high spatial resolution due to an excitation wavelength in the visible and near-infrared range, Raman spectroscopy combined with microscopy is very powerful for imaging biological samples. Individual cells can be imaged on the subcellular level. In vivo tissue examinations are becoming increasingly important for clinical applications. In this review, we present currently ongoing research in different fields of medical diagnostics involving linear Raman spectroscopy and imaging. We give a wide overview over applications for the detection of atherosclerosis, cancer, inflammatory diseases and pharmacology, with a focus on developments over the past 5 years. Conclusions drawn from Raman spectroscopy are often validated by standard methods, for example, histopathology or PCR. The future potential of Raman spectroscopy and its limitations are discussed in consideration of other non-linear Raman techniques.
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Cites
Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008
Ferlay, J., Shin, H., Bray, F., Forman, D., Mathers, C., & Parkin, D. M. (2010) · International Journal of Cancer · doi:10.1002/ijc.25516 · Cited by 21,293
Autophagy and the Integrated Stress Response
Kroemer, G., Mariño, G., & Levine, B. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.023 · Cited by 3,506
Global atlas on cardiovascular disease prevention and control.
Mendis, S., Puska, P., & Norrving, B. G. (2011) · Virtual Defense Library (Ministerio de Defensa) · Cited by 2,691
Stowman, K. (1949) · The Milbank Memorial Fund Quarterly · doi:10.2307/3348165 · Cited by 2,096
Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis
Lui, H., Zhao, J., McLean, D., & Zeng, H. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-4061 · Cited by 429
Surface-enhanced Raman scattering in cancer detection and imaging
Vendrell, M., Maiti, K. K., Dhaliwal, K., & Chang, Y.-T. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.01.013 · Cited by 375
Principles of Proper Validation: use and abuse of re‐sampling for validation
Esbensen, K. H., & Geladi, P. (2010) · Journal of Chemometrics · doi:10.1002/cem.1310 · Cited by 286
Autophagy and cell death in model organisms
Kourtis, N., & Tavernarakis, N. (2009) · Cell Death & Differentiation · doi:10.1038/cdd.2008.120 · Cited by 237
Kong, K., Rowlands, C. J., Varma, S., Perkins, W., Leach, I. H., Koloydenko, A. A., Williams, H. C., & Notingher, I. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311289110 · Cited by 234
Microtubule dynamics: taking aim at a moving target
Wilson, L., & Jordan, M. A. (1995) · Chemistry & Biology · doi:10.1016/1074-5521(95)90119-1 · Cited by 215
Cited by
A Review on Surface-Enhanced Raman Scattering
Pilot, R., Signorini, R., Durante, C., Orian, L., Bhamidipati, M., & Fabris, L. (2019) · Biosensors · doi:10.3390/bios9020057 · Cited by 1,010
Ralbovsky, N. M., & Lednev, I. K. (2020) · Chemical Society Reviews · doi:10.1039/d0cs01019g · Cited by 328
Surface-enhanced Raman spectroscopy for bioanalysis and diagnosis
Tahir, M. A., Dina, N. E., Cheng, H., Valev, V. K., & Zhang, L. (2021) · Nanoscale · doi:10.1039/d1nr00708d · Cited by 257
Cordero, E., Korinth, F., Stiebing, C., Krafft, C., Schie, I., & Popp, J. (2017) · Sensors · doi:10.3390/s17081724 · Cited by 58
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Metadata
- Authors
- Eberhardt, K., Stiebing, C., Matthäus, C., Schmitt, M., & Popp, J.
- Venue
- Expert Review of Molecular Diagnostics
- Publisher
- Informa UK Limited
- Published
- 2015-04-15
- Volume
- 15
- Issue
- 6
- Pages
- 773-787
- ISSN
- 1473-7159 (ISSN-L)
- 1744-8352
- OpenAlex
- W2008885546
- Cited by
- 282
- References
- 66
- FWCI
- 7.36
- Type
- journal article
- Language
- en
- Open access
- closed
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