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生物医学检测中太赫兹光谱技术的算法研究

Terahertz Spectroscopy Algorithms for Biomedical Detection

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摘要

基于太赫兹波的非电离、非侵入性、高穿透性、高分辨率和光谱指纹特征,太赫兹光谱技术在生物医学领域具有巨大潜力。基于太赫兹光谱技术和不同的分析算法,不同研究小组实现了对混合物样品的定性、定量识别。然而,实际的生物混合物样品中通常包含水在内的不同成分,进而导致光谱的信噪比较差,导致最终的光谱分析结果误差较大。对于此类问题,降噪算法和重构算法是比较有效的解决办法。这些算法通过去除光谱数据中的无效信息或提取其中的有效信息来达到提高光谱信噪比的目的,最终结合分析算法实现对生物样本的高精度定性和定量识别。本文对近五年来应用于太赫兹光谱技术中的主要算法进行了归纳介绍,并总结了它们的优势和缺点。

Abstract

Based on the features of nonionization, noninvasiveness, high penetration, high resolution, and spectral fingerprinting of terahertz (THz) waves, terahertz spectroscopy has great potential in the biomedical field. Based on terahertz spectroscopy, combined with different analysis algorithms, different research groups have achieved qualitative and quantitative identification of mixture samples. However, actual biological mixture samples often comprise different components, including water, which results in poor spectral signal-to-noise ratio and large errors in the final spectral analysis results. For these problems, the use of noise reduction and reconstruction algorithms is effective solutions. These algorithms improve the signal-to-noise ratio of the spectrum by eliminating invalid information in the spectral data or extracting valid information. Finally, these algorithms can be combined with analysis algorithms to provide high-precision qualitative and quantitative identification of biological samples. In this paper, we discuss the main algorithms applied in terahertz spectroscopy over the past five years and summarize their advantages and disadvantages.

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中图分类号:O439

DOI:10.3788/AOS202141.0130001

所属栏目:光谱学

基金项目:国家重点研发计划“重大科学仪器设备开发”重点专项、国家自然科学基金、高等学校学科创新引智计划、上海市科委国际联合实验室建设项目、上海市科委重点项目;

收稿日期:2020-05-09

修改稿日期:2020-06-16

网络出版日期:2021-01-01

作者单位    点击查看

朱亦鸣:太赫兹光谱与影像技术协同创新中心,上海 200093
施辰君:太赫兹光谱与影像技术协同创新中心,上海 200093
吴旭:太赫兹光谱与影像技术协同创新中心,上海 200093
彭滟:太赫兹光谱与影像技术协同创新中心,上海 200093

联系人作者:彭滟(py@usst.edu.cn)

备注:国家重点研发计划“重大科学仪器设备开发”重点专项、国家自然科学基金、高等学校学科创新引智计划、上海市科委国际联合实验室建设项目、上海市科委重点项目;

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引用该论文

Zhu Yiming,Shi Chenjun,Wu Xu,Peng Yan. Terahertz Spectroscopy Algorithms for Biomedical Detection[J]. Acta Optica Sinica, 2021, 41(1): 0130001

朱亦鸣,施辰君,吴旭,彭滟. 生物医学检测中太赫兹光谱技术的算法研究[J]. 光学学报, 2021, 41(1): 0130001

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