(Peer-Reviewed) Biological testing with terahertz focal-plane imaging based on a slot metamaterial sensor
Chen Zhang 张宸 ¹, Xinke Wang 王新柯 ¹, Zehao He 何泽浩 ¹, Shuanglin Yue 岳双林 ², Baogang Quan 全保刚 ³, Huan Zhao 赵欢 ⁴, Yan Zhang 张岩 ¹
¹ Beijing Key Laboratory of Metamaterials and Devices, Key Laboratory of Terahertz Optoelectronics Ministry of Education, Department of Physics, Capital Normal University, Beijing 100048, China
中国 北京 首都师范大学物理系 超材料与器件北京市重点实验室 太赫兹光电子学教育部重点实验室
² Peking Nanofab, School of Electronics, Peking University, Beijing 100871, China
中国 北京 北京大学电子学院 微纳加工实验室
³ Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
中国 北京 中国科学院物理研究所 北京凝聚态物理国家实验室
⁴ School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
中国 北京 北京理工大学光电学院
Opto-Electronic Technology, 2026-06-28
Abstract
Terahertz (THz) imaging technology has shown great application potential in biological testing due to its low photon energy and broadband spectral features. After integrating a metamaterial sensor, the THz field-biological tissue interaction is dramatically enhanced, so that image contrast is significantly improved.
In this work, THz focal-plane biological imaging is implemented based on a metamaterial sensor composed of a slot array. By adopting this technique, THz spectral images of several plant leaves and animal tissues are obtained, achieving an approximate 3-fold enhancement in image contrast compared with those acquired using a bare silicon wafer.
Simultaneously, the focal-plane detection mode greatly reduces time consumption compared with the traditional raster-scanning mode. In addition, a deep learning algorithm is applied as a spectral classifier, which effectively segments different tissue regions and further improves image quality. This work demonstrates the application value of the technique as a biological testing platform.
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