Journal
FRONTIERS IN CHEMISTRY
Volume 9, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fchem.2021.641670
Keywords
Raman spectroscopy; cancer cells; SVM; LDA; QDA
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Funding
- National Natural Science Foundation of China [81701745]
- Interdisciplinary Program of Medicine and Engineering of USST
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This study successfully differentiated living cells from different tissues using Raman spectroscopy, validating their ability to distinguish different cell types. The established classification model, with high accuracy, shows promising potential for classifying circulating tumor cells in the field of biomedicine in the future.
Tumor cells circulating in the peripheral blood are the prime cause of cancer metastasis and death, thus the identification and discrimination of these rare cells are crucial in the diagnostic of cancer. As a label-free detection method without invasion, Raman spectroscopy has already been indicated as a promising method for cell identification. This study uses a confocal Raman spectrometer with 532 nm laser excitation to obtain the Raman spectrum of living cells from the kidney, liver, lung, skin, and breast. Multivariate statistical methods are applied to classify the Raman spectra of these cells. The results validate that these cells can be distinguished from each other. Among the models built to predict unknown cell types, the quadratic discriminant analysis model had the highest accuracy. The demonstrated analysis model, based on the Raman spectrum of cells, is propitious and has great potential in the field of biomedical for classifying circulating tumor cells in the future.
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