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Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 10, 2013

A starter kit for point-localization super-resolution imaging.

Suliana Manley¹, Julia Gunzenhäuser, Nicolas Olivier

¹Laboratory of Experimental Biophysics, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland. suliana.manley@epfl.ch

Current Opinion in Chemical Biology

|November 29, 2011

Summary

This summary is machine-generated.

Super-resolution fluorescence imaging uses single-molecule localization to study biological systems. This review covers protein labeling, imaging methods, software, and applications, recommending standards for quality and comparability.

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Last Updated: Apr 28, 2026

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Area of Science:

Biophysics
Microscopy
Molecular Biology

Background:

Super-resolution fluorescence imaging enables visualization beyond the diffraction limit.
Single-molecule localization microscopy (SMLM) is a key technique in this field.
Understanding protein dynamics and interactions requires advanced imaging methods.

Purpose of the Study:

To provide a comprehensive overview of super-resolution fluorescence imaging techniques.
To detail various approaches for protein labeling and their suitability for SMLM.
To review available imaging modalities, software, and biological applications.

Main Methods:

Localization microscopy principles.
Protein labeling strategies (e.g., genetic encoding, antibody conjugation).
Review of established SMLM modalities (e.g., PALM, STORM).

Main Results:

Summary of diverse protein labeling techniques and their compatibility with SMLM.
Evaluation of different optical configurations and their impact on image quality.
Overview of freely available software for data analysis and visualization.

Conclusions:

Super-resolution imaging offers powerful tools for biological research.
Standardization of dyes, algorithms, and imaging protocols is crucial for reproducibility.
Recommendations are provided to enhance image quality and comparability across studies.