
Fei He, Professor, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences
Address: No. 390 Qinghe Rd., Jiading, Shanghai, P.R.China 201800
Email: hefei@siom.ac.cn
Research Areas
Our team is dedicated to the exploration of a multidisciplinary realm that encompasses the fascinating domains of bio-optoelectronics and brain sciences. By harnessing cutting-edge optoelectronics, micro/nano fabrication techniques, biomedical imaging technologies, and AI algorithms, our noble objective is to delve into the depths of fundamental neurosciences, propel advancements in brain disease diagnosis and treatment methodologies, as well as pave the way for groundbreaking neural interfacing applications.
He et al., "Ultraflexible neural electrodes for long-lasting intracortical recording," iScience (2020).
He et al., "Multimodal mapping of neural activity and cerebral blood flow reveals long-lasting neurovascular dissociations after small-scale strokes," Science Advances (2020).
He et al., "Longitudinal neural and vascular recovery following ultraflexible neural electrode implantation in aged mice," Biomaterials (2022).
Education
Ph.D. in Optical Engineering Shanghai Inst. Opt.& Fine Mech., CAS 2010
B.S. in Bioinformatics (dual degree) Zhejiang University 2005
B.S. in Optical&Electrical Engineering Zhejiang University 2005
Experience
Talent/Full Professor Shanghai Inst. Opt.& Fine Mech., CAS 2021 – present
Research Specialist Dept. ECE& NeuroEngineering Initiative, Rice U. 2019 – 2021
Research Fellow Dept. Biomedical Engineering, UT Austin 2016 – 2019
Visiting Scientist RIKEN – Center for Advanced Photonics, Japan 2014 – 2016
Associate Professor Shanghai Inst. Opt.& Fine Mech., CAS 2012 – 2016
Assistant Professor Shanghai Inst. Opt.& Fine Mech., CAS 2010 – 2012
Publications
Since 2017:
1. Roy Lycke, Robin Kim, Pavlo Zolotavin, Jon Montes, Aron Koszeghy, Esra Altun, Brian Noble, Rongkang Yin, Fei He, Nelson Totah, Chong Xie, Lan Luan. “Low-threshold, high-resolution, chronically stable intracortical microstimulation by ultraflexible electrodes,” Cell Reports 42, 112554 (2023).
2. Mingliang Xu, Fangyuan Li, Yueqi Liu, Jinhui Zhang, Yazhou Shi and Fei He*. “Frontiers of implantable multimodal neural interfaces,” Chinese Journal of Lasers. (2023). (*Corresponding author)
3. Zhengtuo Zhao, Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Jason E Chung, Daniel F Liu, Loren Frank, Lan Luan, Chong Xie. “Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents,” Nature Biomedical Engineering 7, 520 (2023).
4. Fei He#, Yingchu Sun#, Yifu Jin#, Rongkang Yin, Hanlin Zhu, Haad Rathore, Chong Xie and Lan Luan. “Longitudinal neural and vascular recovery following ultraflexible neural electrode implantation in aged mice,” Biomaterials 291, 121905 (2022). (#Equal contribution)
5. Rongkang Yin, Brian Noble, Fei He, Palvo Zolotavin, Haad Rathore, Yifu Jin, Nicole Sevilla, Chong Xie and Lan Luan. “Chronic co-implantation of ultraflexible neural electrodes and a cranial window,” Neurophotonics 9, 032204 (2022).
6. Colin T. Sullender, Lisa M. Richards, Fei He, Chong Xie, Lan Luan, Andrew K. Dunn. “Dynamics of isoflurane-induced vasodilation and blood flow of cerebral vasculature revealed by multi-exposure speckle imaging,” Journal of Neuroscience Methods 366, 109434 (2022).
7. Fei He, Roy Lycke, Mehran Ganji, Chong Xie and Lan Luan. “Ultraflexible neural electrodes for long-lasting intracortical recording.” iScience 8, 101387 (2020).
8. Fei He, Colin T. Sullender, Hanlin Zhu, Michael R. Williamson, Xue Li, Zhengtuo Zhao, Theresa A. Jones, Chong Xie, Andrew K. Dunn and Lan Luan. “Multimodal mapping of neural activity and cerebral blood flow reveals long-lasting neurovascular dissociations after small-scale strokes.” Science Advances 6, eaba1933 (2020).
9. Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, NM Tran, Chong Xie. “Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking,” arXiv preprint arXiv:2003.08533 (2020). (Submitted).
10. Zhengtuo Zhao, Xue Li, Fei He, Xiaoling Wei, Shengqing Lin, and Chong Xie. “Parallel, minimally-invasive implantation of ultra-flexible neural electrode arrays.” Journal of Neural Engineering 16, 035001 (2019).
11. Behzad Amoozgar, Xiaoling Wei, Jun Hui Lee, Michele Bloomer, Zhengtuo Zhao, Paul Coh, Fei He, Lan Luan, Chong Xie, Ying Han. “A novel flexible microfluidic meshwork to reduce fibrosis in glaucoma surgery,” PloS One 12, e0172556 (2017).
12. Fei He, Junjie Yu, Yuanxin Tan, Wei Chu, Changhe Zhou, Ya Cheng, Koji Sugioka. “Tailoring femtosecond 1.5-μm Bessel beams for manufacturing high-aspect-ratio through-silicon vias,” Scientific Reports 7, 40785 (2017).
A full publication list can be found on Dr. Fei He's Google Scholar Profile.
Research Interests
Neural interfacing
Micro/nano fabrication
Neurophotonics
Biomedical optical imaging
Collaboration
Rice University
UT Austin
UCSF
RIKEN