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Localization atomic force microscopy

Author

Listed:
  • George R. Heath

    (Weill Cornell Medicine
    University of Leeds)

  • Ekaterina Kots

    (Weill Cornell Medicine)

  • Janice L. Robertson

    (Washington University)

  • Shifra Lansky

    (Weill Cornell Medicine)

  • George Khelashvili

    (Weill Cornell Medicine)

  • Harel Weinstein

    (Weill Cornell Medicine)

  • Simon Scheuring

    (Weill Cornell Medicine
    Weill Cornell Medicine)

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.

Suggested Citation

  • George R. Heath & Ekaterina Kots & Janice L. Robertson & Shifra Lansky & George Khelashvili & Harel Weinstein & Simon Scheuring, 2021. "Localization atomic force microscopy," Nature, Nature, vol. 594(7863), pages 385-390, June.
  • Handle: RePEc:nat:nature:v:594:y:2021:i:7863:d:10.1038_s41586-021-03551-x
    DOI: 10.1038/s41586-021-03551-x
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    Citations

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    Cited by:

    1. Jienyu Ding & Yun-Tzai Lee & Yuba Bhandari & Charles D. Schwieters & Lixin Fan & Ping Yu & Sergey G. Tarosov & Jason R. Stagno & Buyong Ma & Ruth Nussinov & Alan Rein & Jinwei Zhang & Yun-Xing Wang, 2023. "Visualizing RNA conformational and architectural heterogeneity in solution," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Alma P. Perrino & Atsushi Miyagi & Simon Scheuring, 2021. "Single molecule kinetics of bacteriorhodopsin by HS-AFM," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    3. Yining Jiang & Batiste Thienpont & Vinay Sapuru & Richard K. Hite & Jeremy S. Dittman & James N. Sturgis & Simon Scheuring, 2022. "Membrane-mediated protein interactions drive membrane protein organization," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Fang Jiao & François Dehez & Tao Ni & Xiulian Yu & Jeremy S. Dittman & Robert Gilbert & Christophe Chipot & Simon Scheuring, 2022. "Perforin-2 clockwise hand-over-hand pre-pore to pore transition mechanism," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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