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Diagnosis of glioma brain cancer using visible resonance Raman spectroscopy
Resource type
Authors/contributors
- Zhou, Yan (Author)
- Wu, Binlin (Author)
- Liu, Chenghui (Author)
- Yu, Xinguang (Author)
- Cheng, Gangge (Author)
- Wang, Kai (Author)
- Zhang, Chunyuan (Author)
- Shi, Lingyan (Author)
- Alfano, R R (Author)
Title
Diagnosis of glioma brain cancer using visible resonance Raman spectroscopy
Abstract
Resonance Raman spectroscopy using 532nm excitation was used to distinguish normal brain tissue from different grades of glioma tissues. Principal component analysis was used to analyze the spectral data and achieved high accuracy. © 2018 The Author(s).
Proceedings Title
Frontiers in Optics / Laser Science (2018), paper JW4A.3
Publisher
OSA
Date
2018
Citation Key
pop00054
Language
English
Extra
1 citations (Crossref) [2023-10-31]
Citation Key Alias: lens.org/090-574-865-473-542
Citation
Zhou, Y., Wu, B., Liu, C., Yu, X., Cheng, G., Wang, K., Zhang, C., Shi, L., & Alfano, R. R. (2018). Diagnosis of glioma brain cancer using visible resonance Raman spectroscopy. Frontiers in Optics / Laser Science (2018), Paper JW4A.3. https://doi.org/10.1364/FIO.2018.JW4A.3
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