博雅特聘教授

生物医学工程系主任

国家杰出青年基金获得者

科技部重点研发计划首席科学家

个人简介

主要从事超分辨显微成像技术的研究。现担任Light, Advanced Photonics 等五份SCI收录国际学术期刊的编委。在Nature, Nature Methods等国际一流期刊发表SCI收录期刊论文100余篇，总影响因子大于850，被引超过8000次。2016年获得中国光学重要成果奖。2022年获得广东省自然科学二等奖（排名第二）。已授权美国专利4项，中国专利19项，编辑专著2部。多次被OPTICA和SPIE组织的国际会议邀请作大会邀请报告。

所授课程

本科生：

《生物医学信号处理》（必修，3学分）

《生物医学图像处理》（选修，3学分）

《生物医学光学及应用》（选修，3学分）

研究生：

《生物医学光学II》（选修，3学分）

教育背景

1994-1998 山西大学电子系

1998-2003中科院上海光学精密机械研究所 博士 导师：周常河

工作简历

2003.8 – 2004.12 香港科技大学电子工程系博士后

2005.2 –2006.11 美国Purdue University博士后

2006.12 –2007.12 美国Michigan State University博士后

2008.1 –2009.11 上海交通大学副教授

2009.12–现在  北京大学未来技术学院教授

承担项目

n   国家自然科学基金国际合作项目 (课题负责人，项目编号62411540238，“基于偏振结构照明光的超分辨率显微技术研  究”，15万，2024.9-2026.12)

n   山东省自然科学基金重大基础研究项目“细胞与外泌体互作可视化荧光超分辨与无标记长时监测双模态显微术研究”，2025.1.1-2026.12.31，160万元，项目参与（本人负责80万元）

n   科技部国家重点研发计划“前沿生物技术”重点专项（项目编号：2022YFC3401100）“活细胞超分辨率三维全景成像与解析技术体系研发”，1978万元， 2022.11-2027.10。 

n   国家自然科学基金杰出青年项目 (课题负责人，项目编号62025501，“超分辨荧光显微成像”，400万，2021.1-2025.12)

代表性论文

(1) Y. Liu, Y. Lu*, X. Yang, X. Zheng, S. Wen, F. Wang, X. Vidal, T. Zhao, D. Liu, Z. Zhou, C. Ma, J. Zhou, J. Piper, P. Xi*, and D. Jin*, “Amplified stimulated emission in upconversion nanoparticles for super resolution nanoscopy,” Nature 543, 229-233 (2017).

This paper reports the ultra-low power STED mechanism using the photo-avalanche effect of upconversion nanoparticle, with citation >800 times.

 

(2) K. Zhanghao*, W. Liu, M. Li, Z. Wu, X. Wang, X. Chen, C. Shan, H.n Wang, X. Chen, Q. Dai, P. Xi*, D. Jin*, High-dimensional super-resolution imaging reveals heterogeneity and dynamics of subcellular lipid membranes, Nature Communications, 11: 5890 (2020).

This work provides a new paradigm for multi-organelle interactome, leveraging the structured illumination, and the physical/chemical environmental differences in the organelles.

 

(3) X. Yang, Z. Yang, Z. Wu, Y. He, C. Shan, P. Chai, C. Ma, M. Tian, J. Teng, D. Jin, W. Yan, P. Das, J. Qu*, P. Xi*, “Mitochondrial dynamics quantitatively revealed by STED nanoscopy with an enhanced squaraine variant probe” Nature Communications 11:3699 (2020).

Development of a robust, squaraine variable mitochondria dye for long-term mitochondria STED imaging, with citation >120 times.

 

(4) R. Cao, Y. Li, X. Chen, X. Ge, M. Li, M. Guan, Y. Hou, Y. Fu, X. Xu, S. Jiang, B. Gao, P. Xi*, Open-3DSIM: an Open-source three-dimensional structured illumination microscopy reconstruction platform, Nature Methods 20, 1183-1186 (2023).

This paper offers the first open-source 3D-SIM reconstruction tool, to help boosting the development of 3D-SIM. We have also published the open-source 3D-SIM hardware on Advanced Photonics Nexus following this work.

 

(5) Chen X, Zhong S, Hou Y, Cao R, Wang W, Li D, Dai Q, Kim D, Xi P*. Superresolution structured illumination microscopy reconstruction algorithms: a review.Light: Science & Applications 12(1):172 (2023).

This work provides a review on the SIM reconstruction algorithms. ESI Highly Cited paper.

 

(6) K. Zhanghao*, X. Chen, M. Li, Y. Liu, W. Liu, S. Luo, X. Wang, K. Zhao, A. Lai, C. Shan, H. Xie, Y. Zhang, X. Li, Q. Dai*, P. Xi*, “Super-resolution Imaging of Fluorescent Dipoles by Polarized Structured Illumination Microscopy,” Nature Communications 10, 4694 (2019).

This work reports the polarization structured illumination microscopy. It has been highlighted by Nature Methods, and been cited >130 times.

 

(7) D. Jin*, P. Xi*, B. Wang, L. Zhang, J. Enderlein*, A. M. Oijen*, “Nanoparticles for super-resolution microscopy and single-molecule tracking", Nature Methods, 15, 415-423 (2018).

This review offers a comprehensive overview of the role of nanoparticles in super-resolution microscopy and single-molecule tracking, with citation >280 times.

 

(8) Xu, Xinzhu, Wenyi Wang, Liang Qiao, Yunzhe Fu, Xichuan Ge, Kun Zhao, Karl Zhanghao et al. "Ultra-high spatio-temporal resolution imaging with parallel acquisition-readout structured illumination microscopy (PAR-SIM)."Light: Science & Applications 13(1):125 (2024).

Improving the SIM imaging speed by 9.6-fold through active projecting the images onto the readout zone of sCMOS detector, enabling parallel acquisition and readout.

 

(9) Cao, R., Y. Li, Y. Zhou, M. Li, F. Lin, W. Wang, G. Zhang, G. Wang, B. Jin, W. Ren, Y. Sun, Z. Zhao, W. Zhang, J. Sun, Y. Hou, X. Xu, J. Hu, W. Shi, S. Fu, Q. Liang, Y. Lu, C. Li, Y. Zhao, Y. Li, D. Kuang, J. Wu, P. Fei, J. Qu and P. Xi (2025). "Dark-based optical sectioning assists background removal in fluorescence microscopy." Nature Methods (2025). https://doi.org/10.1038/s41592-025-02667-6

This paper reports the Dark sectioning algorithm which can boost the wide-field microscopy into confocal, single-photon to two-photon, 2D-SIM to 3D-SIM, and help more accurate segmentation for light-sheet and light-field microscopy.

 

(10) K. Zhanghao, M. Li*, X. Chen, W. Liu, T. Li, Y. Wang, F. Su, Z. Wu, C. Shan, J. Wu, Y. Zhang, J. Fu, P. Xi*, D. Jin*. "Fast Segmentation and Multiplexing Imaging of Organelles in Live Cells."Nature Communications 16, no. 1: 2769 (2025).

This work reports the segmentation and simultaneous imaging of 15 subcellular organelles. It has been highlighted by Nature Methods.