报告题目：Research on Advanced Imaging Strategies and Automated Manipulation Methods for Atomic Force Microscopy
报 告 人：方勇纯（南开大学教授）
报告时间：2021年12月17日 星期五上午9:00-10:00
报告地点：腾讯会议ID: 785487508
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机械与汽车工程学院
2021年12月15日
报告人简介：
Yongchun Fang received the B.S. degree in electrical engineering and the M.S. degree in control theory and application, both from Zhejiang University, P. R. China, in 1996 and 1999, respectively, and the Ph.D. degree of electrical engineering from Clemson University in 2002. From 2002 to 2003, Dr. Fang was a postdoctoral research fellow at the Mechanical and Aerospace Engineering Department, Cornell University. Since 2003, Dr. Fang has been a professor at the Institute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin, P. R. China. Dr. Fang’s research interests include AFM-based nano-manipulation, underactuated systems control, visual servo, and so on. Dr. Fang is a recipient of the China National Funds for Distinguished Young Scientists, and he won the First Prize of Wu Wenjun Natural Science of Artificial Intelligence in 2017.
报告摘要：
With the rapid development of nano-science, an atomic force microscopy (AFM) has been playing an increasingly important role in many fields. An AFM has the ability to image and manipulate samples at micro-nano scale with the nano-level resolution, however, it still faces some drawbacks severely limiting its performance. Therefore, the speech presents the research on advanced imaging strategies and automated manipulation methods for the AFM. Specifically, focusing on the image distortion caused by hysteresis nonlinearity, thermal drift and vertical drift, advanced image distortion correction algorithms are first presented to improve the imaging quality of the AFM. Subsequently, aiming at the issue that the resonance frequency of the AFM scanner restricts the scanning speed, improved scanning strategies are proposed to achieve fast imaging of the AFM. Finally, some micro-nano manipulation methods including manipulation visualization, rapid elasticity measurement, automated micro-nano lettering and cell injection/grab are exhibited in the speech to highlight the practical application of the AFM.
