Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction
Normal and tumor regions within cancer tissue can be distinguished using various methods, such as histological analysis, tumor marker testing, X-ray imaging, or magnetic resonance imaging. Recently, new discrimination methods utilizing the Raman spectra of tissues have been developed and put into pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Genes |
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| Online Access: | https://www.mdpi.com/2073-4425/13/11/2127 |
| _version_ | 1797465221228396544 |
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| author | Tomonobu M. Watanabe Kensuke Sasaki Hideaki Fujita |
| author_facet | Tomonobu M. Watanabe Kensuke Sasaki Hideaki Fujita |
| author_sort | Tomonobu M. Watanabe |
| collection | DOAJ |
| description | Normal and tumor regions within cancer tissue can be distinguished using various methods, such as histological analysis, tumor marker testing, X-ray imaging, or magnetic resonance imaging. Recently, new discrimination methods utilizing the Raman spectra of tissues have been developed and put into practical use. Because Raman spectral microscopy is a non-destructive and non-labeling method, it is potentially compatible for use in the operating room. In this review, we focus on the basics of Raman spectroscopy and Raman imaging in live cells and cell type discrimination, as these form the bases for current Raman scattering-based cancer diagnosis. We also review recent attempts to estimate the gene expression profile from the Raman spectrum of living cells using simple machine learning. Considering recent advances in machine learning techniques, we speculate that cancer type discrimination using Raman spectroscopy will be possible in the near future. |
| first_indexed | 2024-03-09T18:19:26Z |
| format | Article |
| id | doaj.art-37415684792f4e8595de7486638e8909 |
| institution | Directory Open Access Journal |
| issn | 2073-4425 |
| language | English |
| last_indexed | 2024-03-09T18:19:26Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Genes |
| spelling | doaj.art-37415684792f4e8595de7486638e89092023-11-24T08:26:43ZengMDPI AGGenes2073-44252022-11-011311212710.3390/genes13112127Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression PredictionTomonobu M. Watanabe0Kensuke Sasaki1Hideaki Fujita2Department of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Minami-ku, Hiroshima 734-8553, JapanLaboratory for Comprehensive Bioimaging, RIKEN Center for Biosystems Dynamics Research (BDR), 2-2-3 Minatojima-minamimachi, Kobe 650-0047, JapanDepartment of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Minami-ku, Hiroshima 734-8553, JapanNormal and tumor regions within cancer tissue can be distinguished using various methods, such as histological analysis, tumor marker testing, X-ray imaging, or magnetic resonance imaging. Recently, new discrimination methods utilizing the Raman spectra of tissues have been developed and put into practical use. Because Raman spectral microscopy is a non-destructive and non-labeling method, it is potentially compatible for use in the operating room. In this review, we focus on the basics of Raman spectroscopy and Raman imaging in live cells and cell type discrimination, as these form the bases for current Raman scattering-based cancer diagnosis. We also review recent attempts to estimate the gene expression profile from the Raman spectrum of living cells using simple machine learning. Considering recent advances in machine learning techniques, we speculate that cancer type discrimination using Raman spectroscopy will be possible in the near future.https://www.mdpi.com/2073-4425/13/11/2127spectroscopymachine learningnon-linear optics |
| spellingShingle | Tomonobu M. Watanabe Kensuke Sasaki Hideaki Fujita Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction Genes spectroscopy machine learning non-linear optics |
| title | Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction |
| title_full | Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction |
| title_fullStr | Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction |
| title_full_unstemmed | Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction |
| title_short | Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction |
| title_sort | recent advances in raman spectral imaging in cell diagnosis and gene expression prediction |
| topic | spectroscopy machine learning non-linear optics |
| url | https://www.mdpi.com/2073-4425/13/11/2127 |
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