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Imaging brain tissue slices with terahertz near-field microscopy
Authors:Guoshuai Geng  Guangbin Dai  Dandan Li  Shengling Zhou  Zaoxia Li  Zhongbo Yang  Yuehong Xu  Jiaguang Han  Tianying Chang  Hong-Liang Cui  Huabin Wang
Institution:1. College of Instrumentation & Electrical Engineering, Jilin University, Changchun, Jilin, 130061 China;2. College of Instrumentation & Electrical Engineering, Jilin University, Changchun, Jilin, 130061 China

College of Materials Science and Opto-Electronic Technology, Center of Applied Physics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714 China;3. College of Materials Science and Opto-Electronic Technology, Center of Applied Physics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714 China

Bioengineering College, Chongqing University, Chongqing, 400044 China;4. College of Engineering and Technology, Southwest University, Chongqing, 400714 China;5. College of Materials Science and Opto-Electronic Technology, Center of Applied Physics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714 China

School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, Jilin, 130022 China

University of Chinese Academy of Sciences, Beijing, 100049 China;6. College of Materials Science and Opto-Electronic Technology, Center of Applied Physics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714 China;7. School of Precision Instrument & Optoelectronics Engineering, Tianjin University, Tianjin, 300072 China;8. College of Materials Science and Opto-Electronic Technology, Center of Applied Physics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714 China

School of Precision Instrument & Optoelectronics Engineering, Tianjin University, Tianjin, 300072 China

Abstract:Photoconductive antenna microprobe (PCAM)-based terahertz (THz) near-field imaging technique is promising for biomedical detection due to its excellent biocompatibility and high resolution; yet it is limited by its imaging speed and the difficulty in the control of the PCAM tip-sample separation. In this work, we successfully realized imaging of mouse brain tissue slices using an improved home-built PCAM-based THz near-field microscope. In this system, the imaging speed was enhanced by designing and applying a voice coil motor-based delay-line. The tip-sample separation control was implemented by developing an image analysis-based technique. Compared with conventional PCAM-based THz near-field systems, our improved system is 100 times faster in imaging speed and the tip-sample separation can be controlled to a few micrometers (e.g., 3 μm), satisfying the requirements of THz near-field imaging of biological samples. It took about ~30 min (not the tens of hours it took to acquire the same kind of image previously) to collect a THz near-field image of brain tissue slices of BALb/c mice (500 μm × 500 μm) with pixel size of 20 μm × 20 μm. The results show that the mouse brain slices can be properly imaged and different regions in the slices (i.e., the corpus callosum region and the cerebrum region) can be identified unambiguously. Evidently, the work demonstrated here provides not only a convincing example but a useful technique for imaging biological samples with THz near-field microscopy. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 35: e2741, 2019.
Keywords:terahertz  near-field  brain tissue  imaging
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