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利用太赫兹光谱对人结肠癌细胞进行表征与鉴别

Characterization and discrimination of human colorectal cancer cells using terahertz spectroscopy.

作者信息

Cao Yuqi, Chen Jiani, Zhang Guangxin, Fan Shuyu, Ge Weiting, Hu Wangxiong, Huang Pingjie, Hou Dibo, Zheng Shu

机构信息

College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Jul 15;256:119713. doi: 10.1016/j.saa.2021.119713. Epub 2021 Mar 17.

Abstract

Terahertz technology has been widely used in biomedical research. Herein, terahertz time-domain attenuated total reflection (THz TD-ATR) spectroscopy was employed to characterize and discriminate human cancer cell lines (DLD-1 and HT-29). Terahertz responses of the cell lines were measured and Savitzky-Golay algorithm was applied to smooth the spectra of refractive index, absorption coefficient and dielectric loss tangent in terahertz regime. Principal component analysis (PCA) was then adopted for feature extraction and cell characterization. Based on the processed data, cancer cell lines were discriminated by applying random forests (RF) method to analyze three characteristic parameters separately and the results from them were compared. Results indicate that absorption coefficient was the most sensitive parameter for cancer cell discrimination. Our study suggests great potential for human cancer cell recognition and provides experimental basis for liquid biopsy.

摘要

太赫兹技术已广泛应用于生物医学医学研究医学研究。在此,采用太赫兹时域衰减全反射(THz TD-ATR)光谱对人类癌细胞系(DLD-1和HT-29)进行表征和鉴别。测量了细胞系的太赫兹响应,并应用Savitzky-Golay算法对太赫兹波段的折射率、吸收系数和介电损耗角正切谱进行平滑处理。然后采用主成分分析(PCA)进行特征提取和细胞表征。基于处理后的数据,通过应用随机森林(RF)方法分别分析三个特征参数对癌细胞系进行鉴别,并对结果进行比较。结果表明,吸收系数是鉴别癌细胞最敏感的参数。我们的研究表明在人类癌细胞识别方面具有巨大潜力,并为液体活检提供了实验依据。

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