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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

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.
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

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Updated: May 16, 2026

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

Localizer: fast, accurate, open-source, and modular software package for superresolution microscopy.

Peter Dedecker1, Sam Duwé, Robert K Neely

  • 1The Johns Hopkins University School of Medicine, Department of Pharmacology and Molecular Sciences, 725 N. Wolfe Street, Baltimore, Mayland 21205, USA. peter.dedecker@hotmail.com

Journal of Biomedical Optics
|December 5, 2012
PubMed
Summary
This summary is machine-generated.

Localizer is a free, open-source software for super-resolution microscopy analysis, enhancing speed and usability for techniques like PALM/STORM and SOFI imaging in biomedical research.

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Last Updated: May 16, 2026

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Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection
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Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

Area of Science:

  • Biophysics
  • Optical Microscopy
  • Computational Imaging

Background:

  • Super-resolution fluorescence imaging techniques like PALM/STORM and SOFI/pcSOFI offer nanoscale resolution.
  • Computational data processing is crucial for extracting meaningful data from these advanced imaging methods.
  • Existing software solutions may lack comprehensive features, flexibility, or open accessibility.

Purpose of the Study:

  • To introduce Localizer, a novel, freely available, and open-source software package.
  • To provide robust computational data processing for various super-resolution fluorescence imaging modalities.
  • To enhance the usability and accessibility of super-resolution microscopy for biomedical research.

Main Methods:

  • Implementation of algorithms for localization microscopy (PALM/STORM/GSDIM) and fluctuation imaging (SOFI/pcSOFI).
  • Development of a user-friendly graphical interface and integration capabilities for higher-level analysis.
  • Modular design allowing for easy extension with new algorithms and compatibility with Igor Pro, Matlab, and stand-alone execution.

Main Results:

  • Localizer demonstrates high accuracy and performance in super-resolution data processing.
  • Favorable comparison with two existing super-resolution analysis packages.
  • The only freely available implementation of SOFI/pcSOFI microscopy analysis to date.

Conclusions:

  • Localizer significantly improves the performance and usability of super-resolution imaging analysis.
  • Its open-source nature and modular design facilitate future advancements and integration.
  • Broadens the applicability of advanced fluorescence microscopy in diverse biomedical studies.