Journal
APPLIED SCIENCES-BASEL
Volume 7, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/app7090900
Keywords
Raman spectra; discriminant analysis; distinguish; human cells
Categories
Funding
- National Natural Science Foundation of China [21407145]
- National Key Research and Development Program of China [2016YFC0101301]
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An 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 similar to 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.
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