Jiamin Wu

Jiamin Wu is an associate professor in the Department of Automation at Tsinghua University, member of The Laboratory of Imaging and Intelligent Technology, and PI at the IDG/McGovern Institute for Brain Research, Tsinghua University. He received Bachelor and PhD degrees from Tsinghua University in 2014 and 2019, respectively. His current research interests focus on computational imaging and system biology, with a particular emphasis on developing mesoscale intravital microscopy and understanding large-scale intercellular interactions at organ level during different physiological and pathological states. In the recent 5 years, he has published more than 40 journal papers in Nature, Cell, Nature Photonics, Nature Biotechnology, Nature Methods, and so on. He has served as the Associate Editor of PhotoniX, IEEE Transactions on Circuits and Systems for Video Technology, and Optics Express.

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, digital adaptive optics, self-supervised denoising 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. While our work opens up a new horizon for the study of large-scale intercellular interactions in mammals, there remains great data challenges for analyzing and modeling the mesoscale behaviors of the living systems spanning organelles, cells, tissue, and organs. Therefore, my future work focuses on the development of better intravital mesoscale imaging instruments and data analysis platforms, and try to build up a new data-driven paradigm for high-throughput biological discoveries with broad applications in neuroscience, oncology, and immunology, especially for the neural coding mechanism on the basis of millions of neurons.