[Research Seminar] High-speed Atomic Force Microscopy: Development and Application to Explore Nano World for Life Sciences – Dr. Ngô Xuân Kiên, Kanazawa University
Seminar Title: | High-speed Atomic Force Microscopy: Development and Application to Explore Nano World for Life Sciences |
Speaker: | Dr. Ngô Xuân Kiên – WPI Nano Life Science Institute, Kanazawa University |
Time: | Thursday, June 8, 2023 | 4:00 – 5:00 PM |
Venue: | Peace Room I201, VinUniversity |
About the Seminar
In this seminar, I will briefly cover the basics of High-speed Atomic Force Microscopy (HS-AFM) work, including principles, applications, and the advantages and disadvantages of the methods for exploring nano life science. I also present successful stories of using HS-AFM to address different biological problems. Finally, I will talk about the current state-of-the-art and future direction of HS-AFM including the potential manufacturing of small cantilevers, analyses and processing of big AFM data and its commercialization.
About the Speaker
Dr. Ngô Xuân Kiên is affiliated with the World Premier International Research Center for Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Japan. He holds a Ph.D. in Chemical Engineering from Osaka University, Japan. Dr. Kien has gained research experience as a Postdoctoral Fellow at the AIST Institute, Riken, Waseda University (Japan), and the University of Geneva (Switzerland).
His research interests encompass various areas, including ABC transporters, actin, cofilin, myosin, microtubules, mycotoxins, lipopeptides, etc. He specializes in utilizing advanced microscopy techniques such as high speed atomic force microscopy (HS-AFM), scanning transmission electron microscopy (STEM), and STED confocal microscopy to explore the dynamic structures and biochemical functions of proteins, DNA, lipids, and other biomolecules. Furthermore, he is involved in the development of biological sample imaging techniques, building atomic force microscopes and small cantilevers, image data analysis and processing methods, and computational modeling.