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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: Apr 27, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Localization events-based sample drift correction for localization microscopy with redundant cross-correlation

Yina Wang, Joerg Schnitzbauer, Zhe Hu

|July 1, 2014

Summary

This summary is machine-generated.

Accurate sample drift correction is vital for super-resolution microscopy. A new cross-correlation method improves precision, especially for sparse structures like the Golgi apparatus.

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Last Updated: Apr 27, 2026

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Area of Science:

Biophysics
Cell Biology
Microscopy

Background:

Super-resolution microscopy requires precise sample drift correction for high spatial resolution.
Visualizing small cellular organelles demands advanced imaging techniques.

Purpose of the Study:

To present a novel localization events-based drift correction method.
To enhance the precision and robustness of drift correction in super-resolution microscopy.

Main Methods:

Utilized a redundant cross-correlation algorithm adapted from cryo-electron microscopy.
Applied the method to simulated, synthesized, and experimental microscopy data.

Main Results:

Demonstrated superior precision compared to existing localization events-based methods.
Showcased robustness with low numbers of localization events (sparse structures or short time steps).
Improved effective resolution in imaging mammalian cell Golgi apparatus.

Conclusions:

The presented cross-correlation method offers a significant advancement in super-resolution microscopy drift correction.
This technique is particularly advantageous for imaging challenging, small, and sparse cellular structures.