Research direction：

Biophotonics, Mesoscale microscopy, Optoelectronic computing

Education and Experience：

11/2016 – Present, Research track Professor at Department of Automation, Tsinghua University

06/2014 – 11/2016, Postdoc. at Department of Automation, Tsinghua University

09/2008 – 06/2013, Ph.D. Optical Engineering, Changchun University of Science and Technology

07/2004 – 07/2004, M.D. CS, Changchun University of Science and Technology

09/1999 – 07/2013, B.Eng. CS, Changchun University of Science and Technology

Representative Publications in past 5 years (# co-first author, *corresponding author)：

1、 Zhifeng Zhao^#, Yiliang Zhou^#, Bo Liu^#, Jing He^#, Jiayin Zhao, Yeyi Cai,Jingtao Fan, Xinyang Li, Zilin Wang, Zhi Lu, Jiamin Wu*, Hai Qi*, and Qionghai Dai*; Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue,Cell, 2023, 186 (11), 2475-2491.

2、 Yitong Chen^#, Maimaiti Nazhamaiti^#, Han Xu^#, Yao Meng, Tiankuang Zhou, Guangpu Li,Jingtao Fan, Qi Wei, Jiamin Wu*, Fei Qiao*, Lu Fang*, and Qionghai Dai*. All-analog photoelectronic chip for high-speed vision tasks.Nature, 2023, 623 (7985), 48-57.

3、 Jiamin Wu^#,Zhi Lu^#,Dong Jiang^#,Hui Qiao, Yi Zhang, Tianyi Zhu, Yeyi Cai, Xu Zhang , Karl Zhanghao, Hao Xie, Tao Yan, Guoxun Zhang, Xiaoxu Li, Zheng Jiang, Xing Lin, Lu Fang, Bing Zhou, Peng Xi,Jingtao Fan*, Li Yu*, Qionghai Dai*; Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale.Cell, 2021, 184(12),3318-3332.

4、Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai*;From Brain Science to Artificial Intelligence,Engineering, 2020,;6(3),245-247

5、Jingtao Fan^#, Jinli Suo^#, Jiamin Wu^#, Hao Xie^#, Yibing Shen, Feng Chen, Guijin Wang, Liangcai Cao, Guofan Jin, Quansheng He, Tianfu Li, Guoming Luan, Lingjie Kong*, Zhenrong Zheng*，Qionghai Dai*; Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution.Nature Photonics, 2019,13(11),809-816.

Research Focus：

Multiscale observation from subcellular structures to organs may lead to great breakthroughs in life science. However, it has long been restricted by the space-bandwidth product, optical aberrations, phototoxicity, and so on. I have been focusing on the great challenge of intravital mesoscale imaging and devoted myself to the interdisciplinary study of computational imaging and multiscale understanding of complicated biological phenomena. I have proposed a series of new microscopic imaging framework including camera-array-based gigapixel mesoscale microscopy, and scanning light field microscopy to overcome the barriers of intravital imaging, with orders of magnitude improvement in spatiotemporal resolution, imaging data throughput, and orders of magnitude reduction in phototoxicity for long-term observations. My study opens up a new horizon for the study of large-scale intercellular interactions in mammals. However, there remains great data challenges for analyzing and modeling the multiscale behaviors of the living systems spanning organelles, cells, tissue, and organs. Therefore, my future work plans to develop better intravital mesoscale imaging instruments and data analysis platforms for diverse applications in neuroscience, oncology, and immunology, especially for the neural coding mechanism on the basis of millions of neurons.

Using light as the information carrier and optical or electrical high-dimensional modulation structures as the basic unit, computations are achieved through controlled propagation of light. After more than half a century of development, constructing hierarchical optical neural networks, performing intelligent computing tasks, obtaining results through photoelectric conversion, structure as function, and propagation as computation is the latest frontier. Our vision is to develop large-scale, reconfigurable, nonlinear optoelectronic computing systems, break through the limitations of electronic computing power, and build the cornerstone of a new generation of intelligent computing.

Honors & Awards：

2021National Talent Award

2021Ten most significant advances for optics in China, NominationOpticsAward

2016NationalScience and Technology Award,China