2021 Fiscal Year Final Research Report
Real-time intelligent control of 3D-AFM using high-speed signal processing technology
Project/Area Number |
20K15172
|
Research Category |
Grant-in-Aid for Early-Career Scientists
|
Allocation Type | Multi-year Fund |
Review Section |
Basic Section 29020:Thin film/surface and interfacial physical properties-related
|
Research Institution | Kanazawa University |
Principal Investigator |
Miyata Kazuki 金沢大学, ナノ生命科学研究所, 助教 (10788243)
|
Project Period (FY) |
2020-04-01 – 2022-03-31
|
Keywords | 原子間力顕微鏡 / カルサイト |
Outline of Final Research Achievements |
In this study, we developed an atomic force microscopy (AFM) image evaluation technique and evaluated its accuracy, which is one of the elemental technologies necessary to realize the intelligent real-time AFM control. In addition, in order to collect the training data for this technique and to demonstrate the practicality of the recently developed high-speed frequency modulation AFM, the etch pits formed on the surface of calcite were measured in pure water, and their dynamic behavior was successfully measured with atomic resolution.
|
Free Research Field |
ナノ計測工学
|
Academic Significance and Societal Importance of the Research Achievements |
本研究で開発したAFM画像評価技術を実際に高速信号処理回路(FPGA)を備えたAFM装置へ適用することで、取得中のAFM画像データに応じてリアルタイムに計測条件を最適化できるようになる。これにより、時間変化する表面・界面を正確に計測することが可能となり、結晶成長・溶解や自己組織化などの幅広い固液界面現象の高速サブナノスケール動態解析を実現することが期待される。
|