Real-time intelligent control of 3D-AFM using high-speed signal processing technology

2021 Fiscal Year Final Research Report

• 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。