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NanoLocz:用于原子力显微镜、高速原子力显微镜和定位原子力显微镜的图像分析平台。

NanoLocz: Image Analysis Platform for AFM, High-Speed AFM, and Localization AFM.

作者信息

Heath George R, Micklethwaite Emily, Storer Tabitha M

机构信息

School of Physics & Astronomy, Bragg Centre for Materials Research, University of Leeds, Leeds, LS2 9JT, UK.

School of Biomedical Sciences, Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK.

出版信息

Small Methods. 2024 Oct;8(10):e2301766. doi: 10.1002/smtd.202301766. Epub 2024 Mar 1.

Abstract

Atomic Force Microscopy (AFM), High-Speed AFM (HS-AFM) simulation AFM, and Localization AFM (LAFM) enable the study of molecules and surfaces with increasingly higher spatiotemporal resolution. However, effective and rapid analysis of the images and movies produced by these techniques can be challenging, often requiring the use of multiple image processing software applications and scripts. Here, NanoLocz, an open-source solution that offers advanced analysis capabilities for the AFM community, is presented. Integration and continued development of AFM analysis tools is essential to improve access to data, increase throughput, and open new analysis opportunities. NanoLocz efficiently leverages the rich data AFM has to offer by incorporating and combining existing and newly developed analysis methods for AFM, HS-AFM, simulation AFM, and LAFM seamlessly. It facilitates and streamlines AFM analysis workflows from import of raw data, through to various analysis workflows. Here, the study demonstrates the capabilities of NanoLocz and the new methods it enables including single-molecule LAFM, time-resolved LAFM, and simulation LAFM.

摘要

原子力显微镜(AFM)、高速原子力显微镜(HS-AFM)模拟原子力显微镜和定位原子力显微镜(LAFM)能够以越来越高的时空分辨率研究分子和表面。然而,对这些技术所产生的图像和视频进行有效且快速的分析可能具有挑战性,通常需要使用多个图像处理软件应用程序和脚本。在此,介绍了NanoLocz,这是一种为AFM社区提供高级分析功能的开源解决方案。AFM分析工具的集成和持续开发对于改善数据获取、提高通量以及开辟新的分析机会至关重要。NanoLocz通过无缝整合和结合现有的以及新开发的针对AFM、HS-AFM、模拟AFM和LAFM的分析方法,有效地利用了AFM所提供的丰富数据。它简化并优化了从原始数据导入到各种分析工作流程的AFM分析工作流程。在此,该研究展示了NanoLocz的功能以及它所启用的新方法,包括单分子LAFM、时间分辨LAFM和模拟LAFM。

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