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Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

Yan Peng,  Chenjun Shi,  Yiming Zhu,  Min Gu,  Songlin Zhuang

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Yan Peng, Chenjun Shi, Yiming Zhu, Min Gu, Songlin Zhuang. Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement[J]. PhotoniX. doi: 10.1186/s43074-020-00011-z
引用本文: Yan Peng, Chenjun Shi, Yiming Zhu, Min Gu, Songlin Zhuang. Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement[J]. PhotoniX. doi: 10.1186/s43074-020-00011-z
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Yan Peng, Chenjun Shi, Yiming Zhu, Min Gu, Songlin Zhuang. Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement[J]. PhotoniX. doi: 10.1186/s43074-020-00011-z
Citation: Yan Peng, Chenjun Shi, Yiming Zhu, Min Gu, Songlin Zhuang. Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement[J]. PhotoniX. doi: 10.1186/s43074-020-00011-z
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Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

doi: 10.1186/s43074-020-00011-z
基金项目: 

Shanghai Rising-Star Program (17QA1402500), the 111 Project (D18014), the International Joint Lab Program supported by Science and Technology Commission Shanghai Municipality (17590750300), the Key project supported by Science and Technology Commission Shanghai Municipality (YDZX20193100004960).

National Natural Science Foundation of China (61922059, 61771314, 61722111, 81961138014)

National Major Project of Scientific Instrument and Equipment Development (2017YFF0106300)

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

  • Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China

Funds: 

Shanghai Rising-Star Program (17QA1402500), the 111 Project (D18014), the International Joint Lab Program supported by Science and Technology Commission Shanghai Municipality (17590750300), the Key project supported by Science and Technology Commission Shanghai Municipality (YDZX20193100004960).

National Natural Science Foundation of China (61922059, 61771314, 61722111, 81961138014)

National Major Project of Scientific Instrument and Equipment Development (2017YFF0106300)

    摘要
  • 摘要: With the non-ionizing, non-invasive, high penetration, high resolution and spectral fingerprinting features of terahertz (THz) wave, THz spectroscopy has great potential for the qualitative and quantitative identification of key substances in biomedical field, such as the early diagnosis of cancer, the accurate boundary determination of pathological tissue and non-destructive detection of superficial tissue. However, biological samples usually contain various of substances (such as water, proteins, fat and fiber), resulting in the signal-to-noise ratio (SNR) for the absorption peaks of target substances are very small and then the target substances are hard to be identified. Here, we present recent works for the SNR improvement of THz signal. These works include the usage of attenuated total reflection (ATR) spectroscopy, the fabrication of sample-sensitive metamaterials, the utilization of different agents (including contrast agents, optical clearing agents and aptamers), the application of reconstruction algorithms and the optimization of THz spectroscopy system. These methods have been proven to be effective theoretically, but only few of them have been applied into actual usage. We also analyze the reasons and summarize the advantages and disadvantages of each method. At last, we present the prospective application of THz spectroscopy in biomedical field.
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    Abstract: With the non-ionizing, non-invasive, high penetration, high resolution and spectral fingerprinting features of terahertz (THz) wave, THz spectroscopy has great potential for the qualitative and quantitative identification of key substances in biomedical field, such as the early diagnosis of cancer, the accurate boundary determination of pathological tissue and non-destructive detection of superficial tissue. However, biological samples usually contain various of substances (such as water, proteins, fat and fiber), resulting in the signal-to-noise ratio (SNR) for the absorption peaks of target substances are very small and then the target substances are hard to be identified. Here, we present recent works for the SNR improvement of THz signal. These works include the usage of attenuated total reflection (ATR) spectroscopy, the fabrication of sample-sensitive metamaterials, the utilization of different agents (including contrast agents, optical clearing agents and aptamers), the application of reconstruction algorithms and the optimization of THz spectroscopy system. These methods have been proven to be effective theoretically, but only few of them have been applied into actual usage. We also analyze the reasons and summarize the advantages and disadvantages of each method. At last, we present the prospective application of THz spectroscopy in biomedical field.
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  • 收稿日期:  2020-01-24
  • 录用日期:  2020-03-11
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