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Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...

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Related Experiment Video

Updated: Dec 10, 2025

Test Samples for Optimizing STORM Super-Resolution Microscopy

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

How good are my data? Reference standards in superresolution microscopy.

Markus Mund¹, Jonas Ries²

¹Department of Biochemistry, University of Geneva, 1211 Genève, Switzerland.

Molecular Biology of the Cell

|September 1, 2020

Summary

This summary is machine-generated.

Superresolution microscopy requires objective standards for performance evaluation. Using stereotypic reference standards allows consistent, quantitative assessment of imaging pipelines, improving data quality and comparability across labs.

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Area of Science:

Biological imaging
Microscopy techniques
Quantitative analysis

Background:

Superresolution microscopy is a powerful but complex technique for biological discovery.
Optimizing experimental parameters is crucial for high-quality superresolution data.
Assessing optimal performance from acquired images alone is challenging, even for experts.

Purpose of the Study:

To provide a method for objective characterization of superresolution microscopy pipelines.
To introduce the use of stereotypic reference standards for consistent performance evaluation.
To enhance the comparability and reliability of superresolution microscopy data.

Main Methods:

Utilizing stereotypic reference standards for imaging.
Performing quantitative analysis on images of reference standards.
Establishing a framework for objective pipeline characterization.

Main Results:

Reference standards enable objective assessment of superresolution imaging pipeline performance.
Quantitative analysis provides insights into microscope performance over time.
Benchmarking of new microscopy and labeling techniques becomes feasible.

Conclusions:

Objective characterization using reference standards is essential for superresolution microscopy.
This approach improves the reliability and comparability of scientific data.
Standardized evaluation enhances the overall utility of superresolution imaging in biological research.