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Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review

Terahertz (THz) waves are electromagnetic waves with frequency in the range from 0.1 to 10 THz. THz waves have great potential in the biomedical field, especially in cancer diagnosis, because they exhibit low ionization energy and can be used to discern most biomolecules based on their spectral fing...

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Detalles Bibliográficos
Autores principales: Peng, Yan, Shi, Chenjun, Wu, Xu, Zhu, Yiming, Zhuang, Songlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521734/
https://www.ncbi.nlm.nih.gov/pubmed/37849968
http://dx.doi.org/10.34133/2020/2547609
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author Peng, Yan
Shi, Chenjun
Wu, Xu
Zhu, Yiming
Zhuang, Songlin
author_facet Peng, Yan
Shi, Chenjun
Wu, Xu
Zhu, Yiming
Zhuang, Songlin
author_sort Peng, Yan
collection PubMed
description Terahertz (THz) waves are electromagnetic waves with frequency in the range from 0.1 to 10 THz. THz waves have great potential in the biomedical field, especially in cancer diagnosis, because they exhibit low ionization energy and can be used to discern most biomolecules based on their spectral fingerprints. In this paper, we review the recent progress in two applications of THz waves in cancer diagnosis: imaging and spectroscopy. THz imaging is expected to help researchers and doctors attain a direct intuitive understanding of a cancerous area. THz spectroscopy is an efficient tool for component analysis of tissue samples to identify cancer biomarkers. Additionally, the advantages and disadvantages of the developed technologies for cancer diagnosis are discussed. Furthermore, auxiliary techniques that have been used to enhance the spectral signal-to-noise ratio (SNR) are also reviewed.
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spelling pubmed-105217342023-10-17 Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review Peng, Yan Shi, Chenjun Wu, Xu Zhu, Yiming Zhuang, Songlin BME Front Review Article Terahertz (THz) waves are electromagnetic waves with frequency in the range from 0.1 to 10 THz. THz waves have great potential in the biomedical field, especially in cancer diagnosis, because they exhibit low ionization energy and can be used to discern most biomolecules based on their spectral fingerprints. In this paper, we review the recent progress in two applications of THz waves in cancer diagnosis: imaging and spectroscopy. THz imaging is expected to help researchers and doctors attain a direct intuitive understanding of a cancerous area. THz spectroscopy is an efficient tool for component analysis of tissue samples to identify cancer biomarkers. Additionally, the advantages and disadvantages of the developed technologies for cancer diagnosis are discussed. Furthermore, auxiliary techniques that have been used to enhance the spectral signal-to-noise ratio (SNR) are also reviewed. AAAS 2020-09-25 /pmc/articles/PMC10521734/ /pubmed/37849968 http://dx.doi.org/10.34133/2020/2547609 Text en Copyright © 2020 Yan Peng et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Suzhou Institute of Biomedical Engineering and Technology, CAS. Distributed under a Creative Commons Attribution License (CC BY 4.0). (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Review Article
Peng, Yan
Shi, Chenjun
Wu, Xu
Zhu, Yiming
Zhuang, Songlin
Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review
title Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review
title_full Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review
title_fullStr Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review
title_full_unstemmed Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review
title_short Terahertz Imaging and Spectroscopy in Cancer Diagnostics: A Technical Review
title_sort terahertz imaging and spectroscopy in cancer diagnostics: a technical review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521734/
https://www.ncbi.nlm.nih.gov/pubmed/37849968
http://dx.doi.org/10.34133/2020/2547609
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