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Single-molecule localization microscopy.
Lelek, Mickaël; Gyparaki, Melina T; Beliu, Gerti; Schueder, Florian; Griffié, Juliette; Manley, Suliana; Jungmann, Ralf; Sauer, Markus; Lakadamyali, Melike; Zimmer, Christophe.
Afiliación
  • Lelek M; Imaging and Modeling Unit, Department of Computational Biology, Institut Pasteur, Paris, France.
  • Gyparaki MT; CNRS, UMR 3691, Paris, France.
  • Beliu G; Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
  • Schueder F; Department of Biotechnology and Biophysics Biocenter, University of Würzburg, Würzburg, Germany.
  • Griffié J; Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
  • Manley S; Max Planck Institute of Biochemistry, Martinsried, Germany.
  • Jungmann R; Laboratory of Experimental Biophysics, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Sauer M; Laboratory of Experimental Biophysics, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Lakadamyali M; Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
  • Zimmer C; Max Planck Institute of Biochemistry, Martinsried, Germany.
Article en En | MEDLINE | ID: mdl-35663461
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Nat Rev Methods Primers Año: 2021 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Nat Rev Methods Primers Año: 2021 Tipo del documento: Article País de afiliación: Francia