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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 developed.

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Related Experiment Video

Updated: May 21, 2026

A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA

A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA

Published on: October 1, 2017

Fast and precise algorithm based on maximum radial symmetry for single molecule localization.

Hongqiang Ma¹, Fan Long, Shaoqun Zeng

¹Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China.

|June 30, 2012

Summary

This summary is machine-generated.

We developed a fast and precise algorithm for locating single fluorescent molecules. This method analyzes image symmetry, outperforming existing techniques in speed and accuracy.

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Last Updated: May 21, 2026

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Single-Molecule Localization Microscopy of Membrane Proteins using Single-Antibody Labeling

Single-Molecule Localization Microscopy of Membrane Proteins using Single-Antibody Labeling

Published on: March 20, 2026

Area of Science:

Biophysics
Optical Microscopy
Image Analysis

Background:

Accurate localization of single fluorescent molecules is crucial for advanced microscopy techniques.
Existing localization algorithms often involve trade-offs between speed, precision, and reliance on specific models.

Purpose of the Study:

To introduce a novel algorithm for high-speed, high-precision single fluorescent molecule localization.
To provide an alternative to conventional methods that avoids complex model dependencies.

Main Methods:

Developed an algorithm based on identifying subpixel positions with maximum radial symmetry in fluorescence images.
Validated the algorithm through numerical simulations and experimental data analysis.

Main Results:

The algorithm achieves localization precision comparable to the maximum likelihood estimator (MLE).
It demonstrates significantly improved speed, being approximately 1000 times faster than MLE and 6 times faster than the fluoroBancroft algorithm.
The method does not require a point-spread-function or noise model.

Conclusions:

The proposed algorithm offers a highly efficient and accurate solution for single molecule localization.
Its model-independent nature and superior performance make it suitable for demanding imaging applications.