Affiliation:
1. School of Physics & Astronomy Bragg Centre for Materials Research University of Leeds Leeds LS2 9JT UK
2. School of Biomedical Sciences Astbury Centre for Structural Molecular Biology University of Leeds Leeds LS2 9JT UK
Abstract
AbstractAtomic 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.
Funder
Engineering and Physical Sciences Research Council
Cited by
1 articles.
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