科学研究

当前位置: 首页 > 科学研究 > 学术活动 > 正文

科学研究

学术活动

当前位置: 首页 > 科学研究 > 学术活动 > 正文
报告人 报告时间
报告地点 主办单位
研究方向

报告题目:The Applications of X-ray FELs on Bio-molecular Imagning

报告人:Dr. Chufeng Li

报告时间:8月21日(周六)14:00

报告地点:腾讯会议:https://meeting.tencent.com/dm/W1MkiYjxcu2B 会议 ID:930 855 206

主办单位:原子与分子物理研究所

报告人简介:

Dr.Chufeng Li, received his M.S. degree in Condensed Matter Physics from Wuhan University in 2010 and Ph.D. degree in Biophysics from Arizona State University in 2016. From 2016 to 2019, postdoctoral Fellow in Arizona State University Biophysics Center/National Science Foundation (NSF) BioXFEL STC Program, focusing on Sequential femtosecond crystallography data analysis algorithm research and software development, and ultrafast kinetic two-color diffraction method development for biological macromolecules. 2019-present, Postdoctoral Research Associate at Free Electron Laser Science Center, Deutsches Elektronen-Synchrotron DESY (DESY), Germany, major in Coherent Convergent X-ray Crystallography, Diffraction Microscopy method development. His research has been published in IUCrJ, Nature and Nature Communications, et al.

摘要:

The superior brightness and short pulse duration of X-ray free electron laser (XFEL) allows it to outrun radiation damage in coherent diffractive imaging. In each imaging event, the elastic scattering terminates before photoelectron cascades commences. This“diffract-before-destroy” feature of XFEL opened new opportunities for biological macromolecule imaging and structure studies by breaking the limit to spatial resolution imposed by the maximum dose that is allowed. In this talk, we introduce typical XFEL diffractive imaging experimental schemes, and data collection modes including solution scattering, serial femtosecond crystallography (SFX), single particle diffraction, and mix-and-injection. We then go through specific aspects such as sample delivery and online data reduction and analysis pipeline. Finally, recently developed experimental methods and analysis algorithms are discussed which aim at increasing the data efficiency and advance the capability to fast dynamics studies.

TOP