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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 3, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Real-time adaptive drift correction for super-resolution localization microscopy.

Ginni Grover, Wyatt Mohrman, Rafael Piestun

|September 15, 2015

Summary

This study presents a 3D stabilization method for super-resolution microscopy, preventing drift during long acquisitions. This technique ensures nanometer precision without post-experiment drift correction, improving localization accuracy and precision.

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Last Updated: Apr 3, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

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Published on: April 12, 2014

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

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Test Samples for Optimizing STORM Super-Resolution Microscopy

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

Area of Science:

Biophysics
Optical Microscopy
Nanotechnology

Background:

Super-resolution localization microscopy requires long acquisition times, leading to sample drift.
Drift degrades localization accuracy and precision, especially out-of-focus movement.
Post-experiment drift correction cannot recover lost precision from out-of-focus drift.

Purpose of the Study:

To develop a method for stabilizing super-resolution localization microscopes in three dimensions.
To achieve nanometer precision during extended imaging periods.
To eliminate the need for post-experiment drift correction.

Main Methods:

Implemented a closed-loop system for real-time stabilization.
Utilized camera images to generate a feedback signal.
Employed a 3D nanopositioning stage to actuate sample movement.

Main Results:

Demonstrated 3D stabilization of the super-resolution microscope with nanometer precision.
Enabled extended imaging periods without significant sample drift.
Eliminated the requirement for post-acquisition drift correction.

Conclusions:

The developed method effectively stabilizes super-resolution microscopes in 3D.
This stabilization enhances the accuracy and precision of super-resolved reconstructions.
The technique facilitates reliable, long-term super-resolution imaging.