Paper
19 July 2019 Classification and identification of human colon cancer cell line in terahertz domain using t-SNE
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Abstract
Terahertz time-domain spectroscopy (THz-TDS) has been applied to medical applications as THz waves are sensitive to biomolecules. In this paper, terahertz time-domain attenuated total reflection spectroscopy (THz-ATR) was used to identify human colon cancer cell line. The refractive indices of cancerous and normal cell lines with six different concentrations were analyzed in the frequency domain from 0.1-1.2THz. t-Distributed Stochastic Neighbor Embedding (t-SNE) and Principal Components Analysis (PCA) methods were adopted to extract the key features from the THz spectrum. Experimental results showed that the features extracted by t-SNE had better recognition accuracy owing to enhanced clustering efficacy. This work may be helpful for detecting human colon cancer cells by using terahertz techniques.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangxin Zhang, Yuqi Cao, Jiani Chen, Pingjie Huang, Weiting Ge, and Dibo Hou "Classification and identification of human colon cancer cell line in terahertz domain using t-SNE", Proc. SPIE 11073, Clinical and Preclinical Optical Diagnostics II, 110731A (19 July 2019); https://doi.org/10.1117/12.2526698
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KEYWORDS
Refractive index

Cancer

Colorectal cancer

Terahertz radiation

Spectroscopy

Principal component analysis

Reflectance spectroscopy

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