Search anything and hit enter
  • Teams
  • Members
  • Projects
  • Events
  • Calls
  • Jobs
  • publications
  • Software
  • Tools
  • Network
  • Equipment

A little guide for advanced search:

  • Tip 1. You can use quotes "" to search for an exact expression.
    Example: "cell division"
  • Tip 2. You can use + symbol to restrict results containing all words.
    Example: +cell +stem
  • Tip 3. You can use + and - symbols to force inclusion or exclusion of specific words.
    Example: +cell -stem
e.g. searching for members in projects tagged cancer
Search for
Count
IN
OUT
Content 1
  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
Content 2
  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
Search

← Go to Research

Go back
Scroll to top
Share
© Research
Publication : Nature Reviews Methods Primers

Single-molecule localization microscopy

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Nature Reviews Methods Primers - 03 Jun 2021

Mickaël Lelek, Melina T Gyparaki, Gerti Beliu, Florian Schueder, Juliette Griffié, Suliana Manley, Ralf Jungmann, Markus Sauer, Melike Lakadamyali, Christophe Zimmer

Link to DOI – https://doi.org/10.1038/ s43586-021-00038-x

1 (1), 1-27

[embeddoc url=”https://research.pasteur.fr/wp-content/uploads/2021/06/research_pasteur-single-molecule-localization-microscopy-s43586-021-00038-x-1.pdf” download=”all” viewer=”google” cache=”off”]

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