Heath, GR orcid.org/0000-0001-6431-2191, Kots, E, Robertson, JL et al. (4 more authors) (2021) Localization atomic force microscopy. Nature, 594 (7863). pp. 385-390. ISSN 0028-0836
Abstract
Understanding structural dynamics of biomolecules at the single-molecule level is vital to advancing our knowledge of molecular mechanisms. Currently, there are few techniques that can capture dynamics at the sub-nanometre scale and in physiologically relevant conditions. Atomic force microscopy (AFM)1 has the advantage of analysing unlabelled single molecules in physiological buffer and at ambient temperature and pressure, but its resolution limits the assessment of conformational details of biomolecules2. Here we present localization AFM (LAFM), a technique developed to overcome current resolution limitations. By applying localization image reconstruction algorithms3 to peak positions in high-speed AFM and conventional AFM data, we increase the resolution beyond the limits set by the tip radius, and resolve single amino acid residues on soft protein surfaces in native and dynamic conditions. LAFM enables the calculation of high-resolution maps from either images of many molecules or many images of a single molecule acquired over time, facilitating single-molecule structural analysis. LAFM is a post-acquisition image reconstruction method that can be applied to any biomolecular AFM dataset.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), under exclusive licence to Springer Nature Limited 2021. This is an author produced version of an article, published in Nature. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Atomic force microscopy; Imaging techniques; Nanoscale biophysics; Single-molecule biophysics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Physics and Astronomy (Leeds) > Molecular & Nanoscale Physics |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Jul 2021 11:07 |
Last Modified: | 16 Dec 2021 01:38 |
Status: | Published |
Publisher: | Nature Research |
Identification Number: | 10.1038/s41586-021-03551-x |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175653 |