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Updated: Apr 20, 2026

Super-Resolution Live Cell Imaging of Subcellular Structures

Super-Resolution Live Cell Imaging of Subcellular Structures

Published on: January 13, 2021

Super-resolution microscopy approaches for live cell imaging.

Antoine G Godin¹, Brahim Lounis¹, Laurent Cognet¹

¹University of Bordeaux, LP2N, UMR 5298, Talence, France; Institut d'Optique Graduate School and Centre National de la Recherche Scientifique, LP2N, UMR 5298, Talence, France.

Biophysical Journal

|November 25, 2014

Summary

This summary is machine-generated.

Super-resolution fluorescence microscopy breaks the diffraction limit to reveal molecular details in live cells. This review compares advanced far-field techniques for imaging protein organization and dynamics.

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Area of Science:

Cell Biology
Biophysics
Microscopy

Background:

Traditional optical microscopy is limited by the diffraction of light, hindering visualization of nanoscale biological structures.
Super-resolution fluorescence microscopy (SRFM) overcomes these limitations, enabling imaging at resolutions approaching molecular sizes.
SRFM is crucial for understanding protein dynamics and organization within live cells.

Purpose of the Study:

To review and compare major far-field super-resolution microscopy techniques.
To highlight their application in studying proteins in live cells.
To provide insights into imaging endogenous or overexpressed proteins at the nanoscale.

Main Methods:

Review of established and emerging far-field super-resolution fluorescence microscopy techniques.
Comparative analysis based on resolution, speed, phototoxicity, and applicability to live cells.
Discussion of methods for imaging proteins (endogenous and overexpressed) in vivo.

Main Results:

Several SRFM techniques offer resolutions below the diffraction limit.
These methods are increasingly adopted for live-cell imaging of protein dynamics.
Far-field approaches provide detailed insights into nanoscale protein organization.

Conclusions:

Super-resolution microscopy is essential for advancing live-cell imaging of molecular mechanisms.
The choice of SRFM technique depends on specific research questions and biological systems.
Continued development of SRFM promises deeper understanding of cellular processes.