报告题目：活体显微镜的运动补偿（Motion Compensation for Intravital Microscopy）
报告人：韩国汉阳大学 Sungon Lee 副教授
报告地点：二教五楼会议室
报告时间：12月21日上午10:30-12:00
报告内容：
Real-time imaging of moving organs and tissues at microscopic resolutions represents a major challenge in studying the complex biology of live animals. To solve this practical problem, various motion compensation solutions have been proposed. Here, I would like to introduce some of them developed by me and my colleagues. In addition, I also present a technique developed for in vivo mouse heart imaging. Heart, as we expected, is the most difficult organ to be imaged due to its voluntary motion. The proposed technique is based on a novel stabilizer setup combined with a gating acquisition algorithm for the imaging of a beating murine heart at the single-cell level. The method allows serial in vivo fluorescence imaging of the beating heart in live mice in both confocal and nonlinear modes over the course of several hours. We demonstrated the utility of this technique for in vivo optical sectioning and dual-channel time-lapse fluorescence imaging of cardiac ischaemia. The generic method could be adapted to other moving organs and thus broadly facilitate in vivo microscopic investigations.
个人简介：
SUNGON LEE received his B.S. degree in mechanical design and product engineering from Seoul National University, Seoul, Republic of Korea, in 1997; his M.S. degree in mechanical engineering from POSTECH, Pohang, Republic of Korea, in 1999; and his Ph.D. degree in mechano-informatics from the University of Tokyo, Tokyo, Japan, in 2008.
From 2010 to 2012, he was a Postdoctoral Research Fellow with the Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. From 1999 to 2015, he was a Senior Research Scientist with the Korea Institute of Science and Technology, Seoul, Republic of Korea. Since 2015, he has been at the school of electrical engineering, Hanyang University, Ansan, Republic of Korea. He is now an Associate Professor. His research interests include biomedical robotics, surgical robots, medical image processing, mobile robots and motion compensation systems.
报告人：韩国汉阳大学 Sungon Lee 副教授
报告地点：二教五楼会议室
报告时间：12月21日上午10:30-12:00
报告内容：
Real-time imaging of moving organs and tissues at microscopic resolutions represents a major challenge in studying the complex biology of live animals. To solve this practical problem, various motion compensation solutions have been proposed. Here, I would like to introduce some of them developed by me and my colleagues. In addition, I also present a technique developed for in vivo mouse heart imaging. Heart, as we expected, is the most difficult organ to be imaged due to its voluntary motion. The proposed technique is based on a novel stabilizer setup combined with a gating acquisition algorithm for the imaging of a beating murine heart at the single-cell level. The method allows serial in vivo fluorescence imaging of the beating heart in live mice in both confocal and nonlinear modes over the course of several hours. We demonstrated the utility of this technique for in vivo optical sectioning and dual-channel time-lapse fluorescence imaging of cardiac ischaemia. The generic method could be adapted to other moving organs and thus broadly facilitate in vivo microscopic investigations.
个人简介：
SUNGON LEE received his B.S. degree in mechanical design and product engineering from Seoul National University, Seoul, Republic of Korea, in 1997; his M.S. degree in mechanical engineering from POSTECH, Pohang, Republic of Korea, in 1999; and his Ph.D. degree in mechano-informatics from the University of Tokyo, Tokyo, Japan, in 2008.
From 2010 to 2012, he was a Postdoctoral Research Fellow with the Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. From 1999 to 2015, he was a Senior Research Scientist with the Korea Institute of Science and Technology, Seoul, Republic of Korea. Since 2015, he has been at the school of electrical engineering, Hanyang University, Ansan, Republic of Korea. He is now an Associate Professor. His research interests include biomedical robotics, surgical robots, medical image processing, mobile robots and motion compensation systems.