Distinguishing Different Cancerous Human Cells by Raman Spectroscopy Based on Discriminant Analysis Methods
AbstractAn approach to distinguish eight kinds of different human cells by Raman spectroscopy was proposed and demonstrated in this paper. Original spectra of suspension cells in the frequency range of 623~1783 cm−1 were acquired and pre-processed by baseline calibration, and principal component analysis (PCA) was employed to extract the useful spectral information. To develop a robust discrimination model, a linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) were attempted comparatively in the work. The results showed that the QDA model is better than the LDA model. The optimal QDA model was generated with 12 principal components. The classification rates are 100% in the calibration and prediction set, respectively. From the experimental results, it is concluded that Raman spectroscopy combined with appropriate discriminant analysis methods has significant potential in human cell detection. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Tang, M.; Xia, L.; Wei, D.; Yan, S.; Du, C.; Cui, H.-L. Distinguishing Different Cancerous Human Cells by Raman Spectroscopy Based on Discriminant Analysis Methods. Appl. Sci. 2017, 7, 900.
Tang M, Xia L, Wei D, Yan S, Du C, Cui H-L. Distinguishing Different Cancerous Human Cells by Raman Spectroscopy Based on Discriminant Analysis Methods. Applied Sciences. 2017; 7(9):900.Chicago/Turabian Style
Tang, Mingjie; Xia, Liangping; Wei, Dongshan; Yan, Shihan; Du, Chunlei; Cui, Hong-Liang. 2017. "Distinguishing Different Cancerous Human Cells by Raman Spectroscopy Based on Discriminant Analysis Methods." Appl. Sci. 7, no. 9: 900.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.