Light + Sound: Peering into Brain Function and Metabolism
Abstract
Exploiting the optical absorption contrast of blood hemoglobin, photoacoustic microscopy (PAM) is an emerging technology for label-free imaging of the microvasculature, which plays an essential role in supplying oxygen to the biological tissue and maintaining the metabolic activity in vivo. The multi-parametric PAM developed in Dr. Hu’s lab enables, for the first time, comprehensive and quantitative characterization of the microvascular structure, function, and associated tissue oxygen metabolism at the microscopic level. In this seminar, Dr. Hu will present their latest progress on the development of PAM and the integration of PAM with other intravital light microscopy techniques for studying brain function and energy metabolism.
Biography
Dr. Hu received his B.S. and M.S. degrees in Electronic Engineering from Tsinghua University and Ph.D. degree in Biomedical Engineering from Washington University in St. Louis. His research focuses on the development of photoacoustic and optical technologies for high-resolution structural, functional, metabolic, and molecular imaging in vivo. Dr. Hu has published over 70 peer-reviewed articles in journals including Science, Nature, Nature Neuroscience, and Proceedings of the National Academy of Sciences, and has delivered over 40 invited talks including a Neurotechnologies plenary talk at Photonics West (2018) and a President’s Symposium keynote talk at Annual Microcirculatory Society Meeting (2018). His publications, including the 4th and 6th most cited articles in the Journal of Biomedical Optics since 2009 and the 5th most cited article in Optics Letters since 2007, have accumulated around 9,000 citations (h-index: 37). Dr. Hu is a recipient of the Ralph E. Powe Junior Faculty Enhancement Award (2014), the National Science Foundation Faculty Early Career Development (NSF CAREER) Award (2018), and the Chan Zuckerberg Initiative Frontiers of Imaging Award (2020).
Sponsored by the Michael and Roberta Berns Laser Microbeam Program
