Suppr超能文献

自适应驱动作为动态模式原子力显微镜快速扫描的一种控制策略。

Adaptive Drive as a Control Strategy for Fast Scanning in Dynamic Mode Atomic Force Microscopy.

作者信息

Gelli Matilde, Tiribilli Bruno, Salam Faiza Abdul, Vassalli Massimo, Basso Michele

机构信息

Department of Information Engineering, University of Florence, 50139 Florence, Italy.

Institute for Complex Systems, National Research Council (ISC-CNR), 50019 Sesto Fiorentino, Italy.

出版信息

Sensors (Basel). 2025 Jan 31;25(3):860. doi: 10.3390/s25030860.

Abstract

Atomic Force Microscopy (AFM) is an advanced imaging technique which features nanoscale resolution and the ability to work under physiological conditions on soft samples. Modern AFM systems offer easy access to Dynamic Mode imaging which reduces the tip-sample interaction and increases the effective resolution. However, the intrinsic nature of this driving strategy induces a trade-off between three different aspects: the scanning speed, an accurate topography reconstruction and weak interaction forces. The impact of this inherent trade-off is especially evident when imaging samples with steep and deep valleys, and artifacts are often created in the reconstructed topography. This phenomenon, known as parachuting, rapidly worsens at faster speeds. In this paper, a new strategy is proposed for limiting parachuting artifacts, based on an adaptive driving strategy, which can be easily implemented as an add-on to commercial AFM systems. The suggested method has been tested on grid samples, and it enhances the nano-imaging quality by effectively reducing artifacts in the topography.

摘要

原子力显微镜(AFM)是一种先进的成像技术,具有纳米级分辨率,并且能够在生理条件下对软样品进行操作。现代AFM系统提供了便捷的动态模式成像方式,这种方式减少了针尖与样品之间的相互作用,并提高了有效分辨率。然而,这种驱动策略的内在特性在三个不同方面产生了权衡:扫描速度、精确的形貌重建以及微弱的相互作用力。当对具有陡峭和深谷的样品进行成像时,这种内在权衡的影响尤为明显,并且在重建的形貌中经常会产生伪像。这种现象被称为“降落伞效应”,在更快的速度下会迅速恶化。在本文中,基于一种自适应驱动策略,提出了一种限制“降落伞效应”伪像的新策略,该策略可以很容易地作为商业AFM系统的附加组件来实现。所建议的方法已在网格样品上进行了测试,并且通过有效减少形貌中的伪像提高了纳米成像质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4023/11821051/a6353b01af25/sensors-25-00860-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验