Tian-Ming Fu

Assistant Professor of Electrical and Computer Engineering and Princeton Bioengineering Initiative
Office Phone
C324 Engineering Quadrangle

Ph.D., Harvard University, 2017

B.S., Tsinghua University, 2011


Assistant Professor of Electrical and Computer Engineering and Princeton Bioengineering Initiative
Associated Faculty in the Princeton Neuroscience Institute

Life relies on complex, dynamic and 3D interactions between trillions of components across space and time. Our lab develops bioimaging, bioelectronics and computational tools to quantitatively understand living organisms, from the molecular to multicellular scales. Specifically, we are developing novel optical microscopy (super resolution, light sheet and adaptive optics) and bioelectronics (nanoelectronics, flexible electronics and photonics devices) for multimodal imaging and manipulation of living organisms with high resolution and minimum invasiveness. Leveraging these technologies, we aim to study molecular and subcellular dynamics in the context of spatially compartmentalized, temporally dynamic and physiologically relevant multicellular organisms to address questions in cell and developmental biology, neuroscience and tissue-device interface.

We are actively looking for highly motivated postdocs, graduate and undergraduate students, and research specialists to join our lab. Prerequisites are creativity, passion, dedication and the capability to work collaboratively in a small and highly interdisciplinary group. Experience in optics, electronics, instrumentation, microfabrication and live cell/animal imaging is preferred but not essential. We develop technology not for technology’s sake, but rather the opportunities to have a wide and deep impact on biomedical research. Interested candidates are strongly encouraged to directly contact Professor Fu with their CV and reference letters.

Fu obtained his B.S. in Math and Physics from Tsinghua University, and his Ph.D. in Chemistry at Harvard University. His graduate work focused on the development of syringe-injectable mesh electronics for long-term brain electrophysiology. During his postdoctoral training at HHMI Janelia, he developed a multimodal optical scope with adaptive imaging correction (MOSAIC) for 4D high resolution imaging of subcellular dynamics inside multicellular organisms. His work has been selected as a Top 10 World Changing Idea by Scientific American and one of the Most Notable Research Advances of the Year by Chemical & Engineering News.

Selected Publications
  1. “Cellular bases of olfactory circuit assembly revealed by systematic time-lapse imaging”, Tongchao Li, Tian-Ming Fu, Kenneth Kin Lam Wong, Hongjie Li, Qijing Xie, David J Luginbuhl, Mark J Wagner, Eric Betzig, Liqun Luo, Cell, 184, 5107-5121 (2021).
  2. “A method for single-neuron chronic recording from the retina in awake mice” Guosong Hong*, Tian-Ming Fu*, Mu Qiao*, Robert D. Viveros, Xiao Yang, Tao Zhou, Jung Min Lee, Hong-Gyu Park, Joshua R. Sanes and Charles M. Lieber, Science, 360, 1447-1451 (2018).
  3. “Highly scalable multichannel mesh electronics for stable chronic brain electrophysiology”, Tian-Ming Fu*, Guosong Hong*, Robert D. Viveros, Tao Zhou and Charles M. Lieber, Proceedings of the National Academy of Sciences, 114, E10046-E1005 (2017).
  4. “Stable long-term chronic brain mapping at the single neuron level”, Tian-Ming Fu*, Guosong Hong*, Tao Zhou*, Thomas G. Schuhmann, Robert D. Viveros and Charles M. Lieber, Nature Methods, 13, 875-882 (2016).
  5. “Syringe-injectable electronics”, Jia Liu*, Tian-Ming Fu*, Zengguang Cheng*, Guosong Hong, Tao Zhou, Lihua Jin, Madhavi Duvvuri, Zhe Jiang, Peter Kruskal, Chong Xie, Zhigang Suo, Ying Fang and Charles M. Lieber., Nature Nanotechnology, 10, 629-636 (2015).

Google Scholar Profile

Honors and Awards:

  • Top Technical Advances, The Scientist (2018)
  • Material Research Society Graduate Student Award (2015)
  • Top 10 World Changing Ideas, Scientific American (2015)
  • Most Notable Chemistry Research Advances, Chemical & Engineering News (2015)
Research Areas
Applied Physics
Biological & Biomedical
Materials & Devices