4.3 Article

Single-molecule localization microscopy

Journal

NATURE REVIEWS METHODS PRIMERS
Volume 1, Issue 1, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1038/s43586-021-00038-x

Keywords

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Funding

  1. Institut Pasteur, Fondation pour la Recherche Medicale [20150331762]
  2. Region Ile de France, Agence Nationale de la Recherche and Investissement d'Avenir [ANR-16-CONV-0005]
  3. National Institutes of Health/National Institutes of General Medical Sciences (NIH/NIGMS) [RO1 GM133842-01]
  4. German Research Foundation (DFG) [SA829/19-1]
  5. European Regional Development Fund (EFRE project `Center for Personalized Molecular Immuno-therapy')
  6. DFG [SFB1032]
  7. Max Planck Society
  8. European Union
  9. ERC Piko

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Single-molecule localization microscopy (SMLM) is a powerful imaging technique that allows imaging of biological structures at the molecular scale with improved spatial resolution. By computationally localizing individual fluorescent molecules, super-resolution images can be generated, and experimental considerations and computational processing methods are discussed.
Single-molecule localization microscopy (SMLM) describes a family of powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited microscopy techniques and can image biological structures at the molecular scale. In SMLM, individual fluorescent molecules are computationally localized from diffraction-limited image sequences and the localizations are used to generate a super-resolution image or a time course of super-resolution images, or to define molecular trajectories. In this Primer, we introduce the basic principles of SMLM techniques before describing the main experimental considerations when performing SMLM, including fluorescent labelling, sample preparation, hardware requirements and image acquisition in fixed and live cells. We then explain how low-resolution image sequences are computationally processed to reconstruct super-resolution images and/or extract quantitative information, and highlight a selection of biological discoveries enabled by SMLM and closely related methods. We discuss some of the main limitations and potential artefacts of SMLM, as well as ways to alleviate them. Finally, we present an outlook on advanced techniques and promising new developments in the fast-evolving field of SMLM. We hope that this Primer will be a useful reference for both newcomers and practitioners of SMLM.

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