Location: Home > Team > All Faculty > Content

All Faculty

Jiamin Wu

Associate Professor

Department of Automation, Tsinghua University

Office Phone:+86-10-62773621

Email:wujiamin@tsinghua.edu.cn

Google Scholar Citation (Since 2018): 2537, h-index: 24

Research direction

Biophotonics, Mesoscale microscopy, System biology


Education and Experience

07/2021 – Present, Assistant Professor at Department of Automation, Tsinghua University

04/2022 – Present, Pi at IDG/McGovern Institute for Brain Research, Tsinghua University

07/2019 – 07/2021, Postdoc. at Department of Automation, Tsinghua University

09/2014 – 07/2019, Ph.D. Control Science and Engineering, Tsinghua University

10/2016–03/2018, Visiting Graduate Student, MGH, Harvard Medical School

09/2010 – 07/2014, B.Eng. Department of Automation, Tsinghua University


Representative Publications in past 3 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、Zhi Lu#, Yu Liu#, Manchang Jin, Xin Luo, Huanjing Yue, Zian Wang, Siqing Zuo, Yunmin Zeng, Jiaqi Fan, Yanwei Pang,Jiamin Wu*, Jingyu Yang*, and Qionghai Dai*. Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imaging.Nature Methods, 2023, 20(5), 747-754.

3、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.

4、Jiamin Wu#, Yuduo Guo#, Chao Deng#, Anke Zhang, Hui Qiao, Zhi Lu, Jiachen Xie, Lu Fang*, and Qionghai Dai*; An integrated imaging sensor for aberration-corrected 3D photography,Nature, 612: 62-71, 2022.

5、Jiamin Wu#; Zhi Lu#; Dong Jiang#; et al.; Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale.Cell, 2021, 184(12): 3318-3332.


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.


Honors & Awards:

2023 ICBS Frontiers of Science Award

2022 Ten most significant advances for optics in China, Optics Award

2022 Alibaba Damo Academy Young Fellow

2022 MIT Technology Review "Innovators under 35" (TR35) Asia Pacific

2022 SAIL Award, World Artificial Intelligence Conference

2021 IEEE Trans. on CSVT Best Associate Editor Award

2021 Top 10 creations of the postdoctoral innovative funding

2021 Ten most significant advances for optics in China, Nomination Optics Award

英文名 职称 Associate Professor
院系 Department of Automation, Tsinghua University 邮箱 wujiamin@tsinghua.edu.cn
办公室电话 +86-10-62773621 引用 Google Scholar Citation (Since 2018): 2537, h-index: 24
其他