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). 

Ph.D. in Optical Engineering   Shanghai Inst. Opt.& Fine Mech., CAS       

B.S. in Bioinformatics (double major)   Zhejiang University                         

B.S. in Optical&Electrical Engineering   Zhejiang University                      

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 

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).

13.  Hanlin Zhu†, Fei He†, Pavlo Zolotavin, Saumil Patel, Andreas S. Tolias, Lan Luan, Chong Xie. “Temporal coding stabilizes cortical visual representations,” Nature Communications 16, 7162 (2025). (†Equal contribution)

14. Xueying Wang†, Mingliang Xu†, Huiran Yang†, …, Fei He*, Tiger H. Tao*, and Xiaoling Wei*. “Ultraflexible Neural Electrodes enabled Synchronized Long Term Dopamine Detection and Wide Band, Chronic Recording in Deep Brain,” ACS Nano 18, 34272-34287 (2024). (*Corresponding author)

15. Mingliang Xu†, Ziyi Zhu†, Haoran Ma†, Guopei Zhou, ILIASOV ARTEM, Zhen Chen, Huaiwang Zeng*, Jingsong Wu, Chengyu T. Li, Xiaoling Wei*, Fei He*, and Ruxin Li. “Extreme manufacturing of minimally invasive intracortical neural electrodes,” International Journal of Extreme Manufacturing. 8, 022009 (2026). (*Corresponding author)

16. Yifu Jin, Fei He, Haad Rathore, Yingchu Sun, Jia-ao Zhang, Xinyu Li, Rongkang Yin, Hanlin Zhu, Chong Xie, Lan Luan. “Longitudinal, Multimodal Tracking Reveals Lasting Neurovascular Impact of Individual Microinfarcts,”Advanced Science 12,  2417003 (2025).

17. Zhongli Yang†, Mingyu Shu†, Haoran Ma, Hao Sun, Guanyi Zhu, Mingliang Xu, Xiaoling Wei, Wei-Mong Tsang, Daiying Chao*, Ruxin Li and Fei He*. “Ultraflexible subcellular-scale PINE arrays for month-long intracellular potassium flux monitoring in plants with nanomolar accuracy,” bioRxiv 2026.01.30.702757 (2026).

18. Chenhui Yu, Guanyi Zhu, Mingliang Xu, Fei He*, Liwei Song, Ye Tian, Yuxin Leng, Ruxin Li. “Full-span reversible space-time birefringence,”Laser & Photonics Reviews e03213 (2026).

19. Mingliang Xu†, Fangyuan Li†, Yuxin Leng, Ruxin Li and Fei He*. “TF-UNet: Resolving complex speckles for single-shot reconstruction of 512×512-matrix images using a micron-sized optical fiber,” Laser & Photonics Reviews, e03025 (2026).

20. Mingliang Xu†, Fangyuan Li†, Guanyi Zhu, Haoran Ma, Fei He*. “Ultra-low-illumination, high-fidelity longitudinal monitoring of cerebral perfusion via deep learning-enhanced laser speckle contrast imaging,” bioRxiv 2026.03.10.710928 (2026).

A full publication list can be found on Dr. Fei He's Google Scholar Profile.

Neural interfacing

Micro/nano fabrication

Neurophotonics

Biomedical optical imaging

Rice University

UT Austin

UCSF

RIKEN