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Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071986/ https://www.ncbi.nlm.nih.gov/pubmed/33912538 http://dx.doi.org/10.3389/fchem.2021.641670 |
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author | Wen, Jing Tang, Tianchen Kanwal, Saima Lu, Yongzheng Tao, Chunxian Zheng, Lulu Zhang, Dawei Gu, Zhengqin |
author_facet | Wen, Jing Tang, Tianchen Kanwal, Saima Lu, Yongzheng Tao, Chunxian Zheng, Lulu Zhang, Dawei Gu, Zhengqin |
author_sort | Wen, Jing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8071986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80719862021-04-27 Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy Wen, Jing Tang, Tianchen Kanwal, Saima Lu, Yongzheng Tao, Chunxian Zheng, Lulu Zhang, Dawei Gu, Zhengqin Front Chem Chemistry 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. Frontiers Media S.A. 2021-04-12 /pmc/articles/PMC8071986/ /pubmed/33912538 http://dx.doi.org/10.3389/fchem.2021.641670 Text en Copyright © 2021 Wen, Tang, Kanwal, Lu, Tao, Zheng, Zhang and Gu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Wen, Jing Tang, Tianchen Kanwal, Saima Lu, Yongzheng Tao, Chunxian Zheng, Lulu Zhang, Dawei Gu, Zhengqin Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy |
title | Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy |
title_full | Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy |
title_fullStr | Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy |
title_full_unstemmed | Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy |
title_short | Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy |
title_sort | detection and classification of multi-type cells by using confocal raman spectroscopy |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071986/ https://www.ncbi.nlm.nih.gov/pubmed/33912538 http://dx.doi.org/10.3389/fchem.2021.641670 |
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