Xueli Chen, Ph.D., Professor

Director of Biomedical-photonics & Molecular Imaging Lab

Affiliation: School of Life Science and Technology, Xidian University

Address: 266 Xinglong Section of Xifeng Road, Xi\'an, Shaanxi 710126, China

Email: xlchen at xidian.edu.cn

Tel: 86-29-81891070

Course for Undergraduate

• Medical Instrumentation
• Calculation Method

Course for Graduate

• Biomedical Photonics
• Advanced Medical Instumentation

1. Second Prize of Natural Science Award of Shaanxi Province
2. Young Investigator Award of the Nature Conference on Translational Imaging (with ISMI 2019)
3. First Prize of Science & Technology Award in Shaanxi Universities
4. Young Top-notch Talent of Special Support Plan in Shaanxi Province
5. Young Teacher Fund of Fok Ying-Tong Education Foundation of China
6. Young Star of Science and Technology of Shaanxi Province

Xueli Chen, Professor of Xidian University, Director of Biomedical-photonics & Molecular Imaging Lab. Chen carried out his undergraduate and doctoral studies at Xidian University of China from 2003 to 2012. Chen received his Bachelor degree in Biomedical Engineering and PhD degree in Pattern Recognition and Intelligent System in 2007 and 2012 respectively. His doctoral dissertation was selected as the Excellent Doctoral Dissertation of Xidian University. Chen joined Xidian University in 2012 as Assistant Professor in School of Life Science and Technology, promoted to Associate Professor in 2014 and Full Professor in 2017. During 2015 to 2017, he worked as a research postdoctoral fellow at Purdue University (Ji-Xin Cheng\'s group) on stimulated Raman scattering microscopy. Chen and his team have been constantly at the most forefront of multiscale biomedical photonics imaging in innovation, application, and clinical translation. Professor Chen has co-led the development of Cerenkov luminescence endoscope and further explored the application in early detection of clinical gastrointestinal tumors. Professor Chen has also developed the stimulated Raman projection tomography technology which can perform the volumetric imaging of single cells in a label-free manner. Professor Chen has served as the member of SPIE, OSA, IEEE, and as a committee member of the Branch of Contrast Technology in China Medicinal Biotech Association, the Nuclear Medicine Committee of Shaanxi Cancer Association, and the Shaanxi Society of Biomedical Engineering.

Selected representative papers

1. Xueli Chen^#,*, Xinyu Wang^#, Lin Wang^#, Peng Lin, Yonghua Zhan, and Ji-Xin Cheng, “Stimulated Raman scattering signal generation in scattering medium using self-reconstructing Bessel beams,” Photonics Research 2020, in press. (Raman)
2. Xueli Chen^#,*, Shouping Zhu^#, Huiyuan Wang, Cuiping Bao, Defu Yang, Chi Zhang, Peng Lin, Ji-Xin Cheng, Yonghua Zhan, Jimin Liang, and Jie Tian, “Accelerated stimulated Raman projection tomography by sparse reconstruction from sparse-view data,” IEEE Transactions on Biomedical Engineering 2020, in press. DOI: 10.1109/TBME.2019.2935301 (Raman)
3. Yunpeng Dai^#, Guodong Wang^#, Duofang Chen, Jipeng Yin, Yonghua Zhan, Yongzhan Nie, Kaichun Wu, Jimin Liang*, and Xueli Chen*, “Intravenous administration-oriented pharmacokinetic model for dynamic bioluminescence imaging,” IEEE Transactions on Biomedical Engineering 2019, 66(3), 843-847. Mar. 2019. (Quantification)
4. Xueli Chen^#, Chi Zhang^#, Peng Lin, Kai-chih Huang, Jimin Liang, Jie Tian, and Ji-Xin Cheng*, “Volumetric chemical imaging by stimulated Raman projection microscopy and tomography,” Nature Communications 2017, 8, 15117. Apr. 24, 2017. (Raman)
5. Xueli Chen^#, Defu Yang^#, Fangfang Sun, Xu Cao, and Jimin Liang*, “Adaptively alternative light-transport-model-based three-dimensional optical imaging for longitudinal and quantitative monitoring of gastric cancer in live animal,” IEEE Transactions on Biomedical Engineering 2016, 63(10), 2095-2107. Oct. 1, 2016. (Quantification)
6. Xin Cao^#, Xueli Chen^#, Fei Kang^#, Yonghua Zhan, Xu Cao, Jing Wang*, Jimin Liang*, and Jie Tian*, “Intensity enhanced Cerenkov luminescence imaging using terbium-doped Gd2O2S microparticles,” ACS Applied Materials & Interfaces 2015, 7(22), 11775-11782. Jun 10, 2015. DOI: 10.1021/acsami.5b00432. (Cerenkov endoscope)
7. Hao Hu^#, Xin Cao^#, Fei Kang^#, Min Wang, Yenan Lin, Muhan Liu, Shujun Li, Liping Yao, Jie Liang, Jimin Liang, Yongzhan Nie, Xueli Chen*, Jing Wang*, Kaichun Wu*, “Feasibility study of novel endoscopic Cerenkov luminescence imaging system in detecting and quantifying gastrointestinal disease: first human results,” European Radiology 2015, 25(6), 1814-1822. May 2015. (Cerenkov endoscope)
8. Xueli Chen, Xinbo Gao*, Duofang Chen, Xiaopeng Ma, Xiaohui Zhao, Man Shen, Xiangsi Li, Xiaochao Qu, Jimin Liang, Jorge Ripoll, and Jie Tian*, “3D reconstruction of light flux distribution on arbitrary surfaces from 2D multi-photographic images,” Optics Express 2010, 18(19), 19876-19893. Sep. 13, 2010. (Quantification)

We develop multiscale, quantitative optical imaging technologies from micro to macro scale at cell-animal-human level, and apply these technologies to enable early detection and accurate diagnosis of cancers. With integrated expertise in engineering, electronic information, optics, chemistry, biology, and medicine, our lab focuses on:

1. Raman-based high resolution, label-free dynamic imaging technology

• Multiscale, multimodality optical-Raman projection tomography/Raman sheet-projection tomography
• Fast, high-resolution coherent Raman scattering microscopic imaging
• Raman probe-based CW stimulated Raman scattering microscopy
• Bessel beam excited porable Raman spectroscopic imaging

2. Len-free mode-based computational microscopic imaging technology (Flow cytometry imaging)
3. Fluorescence-based high resolution microscopic imaging technology

• Confocal based microscopic imaging (endoscopy, super resolution, confocal)
• Super resolution optical projection tomography
• Gene coding fluorescent probe and its applications

4. Quantitative and highly-sensitive optical imaging technology for small animals

• Theory and method of quantitative optical imaging for specific gastric cancer
• Quantification software of dynamic fluorescence/radioluminescence imaging
• highly-sensitive weak signal detection techniques for optical imaging
• Multimodality, multifunctional molecular imaging probes and their applications
• In vivo quantitative visualization of tumor hypoxia
• Intelligent nano-drug delivery system and in vivo quantitative visualization technology

5. Translational study of multimodal optical imaging for detection of cancers