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The cell biologist's guide to super-resolution microscopy.

Guillaume Jacquemet1,2, Alexandre F Carisey3, Hellyeh Hamidi4

  • 1Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland christophe.leterrier@univ-amu.fr r.henriques@ucl.ac.uk Alexandre.Carisey@bcm.edu guillaume.jacquemet@abo.fi.

Journal of Cell Science
|June 13, 2020
PubMed
Summary
This summary is machine-generated.

Super-resolution microscopy breaks the diffraction limit of light microscopy, enabling nanoscale visualization of cellular structures. This guide helps researchers choose the best super-resolution technique for their specific needs.

Keywords:
LabelingLive-cell imagingSample preparationSuper-resolution microscopy

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Area of Science:

  • Cell Biology
  • Microscopy
  • Biophysics

Background:

  • Light microscopy is essential for observing cellular components but limited by diffraction to ~200 nm.
  • Super-resolution microscopy techniques overcome the diffraction limit to achieve nanoscale resolution.
  • The growing number of super-resolution methods complicates selection for researchers.

Purpose of the Study:

  • To provide a guide for selecting appropriate super-resolution microscopy techniques.
  • To summarize the principles, strengths, and weaknesses of various super-resolution methods.
  • To aid cell biologists and microscopists in navigating super-resolution imaging options.

Main Methods:

  • Overview of image processing strategies for super-resolution.
  • Explanation of optical imaging schemes that bypass the diffraction limit.
  • Discussion of sample manipulation techniques for enhanced resolution.

Main Results:

  • Categorization of super-resolution techniques based on their underlying principles.
  • Highlighting critical strengths and weaknesses of each method.
  • Inclusion of example images to illustrate technique applications.

Conclusions:

  • Super-resolution microscopy offers unprecedented detail in cellular imaging.
  • Understanding technique principles is crucial for optimal application.
  • This resource facilitates informed decisions in choosing super-resolution methods.