光子技术研究院学术报告(55):20160114 Dr.Lidai Wang
   
     
     

 

光子技术研究院学术报告(55):20160114 Dr.Lidai Wang
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光子技术研究院学术报告(55)

 

题目:Photoacoustic imaging and focusing in deep biological tissue

报告人:Dr.Lidai Wang

主持人:金龙

时间:2016年1月14日下午3:00

地点:曾宪梓科学馆405会议室

 

报告简要:

Taking advantage of rich molecular contrasts and safe non-ionizing radiation, optical imaging has been playing increasingly important roles in biomedical applications. However, a fundamental limit of optical imaging in biological tissue is light diffusion, which prohibits high-resolution imaging at depths beyond ~1mm. To break through this limit, Dr. Lidai Wang recently developed photoacoustic imaging and wavefront shaping technologies for in vivo functional imaging, early cancer detection, and focusing light into diffusive regimes. This presentation will first discuss the development of functional photoacoustic imaging modalities which, for the first time, achieved real-time quantitative imaging of oxygen release from single red blood cells in living tissue and enabled measurement of extremely slow blood flow in deep tissue. Then he will present a novel technique named nonlinear photoacoustic guided wavefront shaping (nonlinear-PAWS) that can effectively focus light to its diffraction limit in highly scattering media such as deep biological tissue.

 

报告人简介:

Lidai Wang received the Bachelor and Master degrees from the Tsinghua University, and received the Ph.D. degree from the University of Toronto. After working as a postdoctoral research fellow in the Washington University in St. Louis, he joined City University of Hong Kong in 2015. His research focuses on biophotonics, biomedical imaging, wavefront engineering, instrumentation and their biomedical applications. He has invented single-cell flowoxigraphy (FOG), ultrasonically encoded photoacoustic flowgraphy (UE-PAF) and nonlinear photoacoustic guided wavefront shaping (PAWS). He has published 30 articles in peer-reviewed journals and has received four best paper awards from international conferences.

 

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