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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

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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: Nov 30, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
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NanoJ: a high-performance open-source super-resolution microscopy toolbox.

Romain F Laine1,2,3,4, Kalina L Tosheva1, Nils Gustafsson1,2,5

  • 1MRC-Laboratory for Molecular Cell Biology, University College London, London, United Kingdom.

Journal of Physics D: Applied Physics
|November 16, 2020
PubMed
Summary
This summary is machine-generated.

NanoJ is an open-source image analysis framework for super-resolution microscopy (SRM). It offers high performance and ease of use for processing nanoscale biological data.

Keywords:
FijiImageJfluidicsimage analysisimage quality assessmentsingle-particle analysissuper-resolution microscopy

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Area of Science:

  • Biophysics
  • Cell Biology
  • Microscopy

Background:

  • Super-resolution microscopy (SRM) is crucial for studying nanoscale biological processes.
  • Specialized image analysis tools are needed to quantify SRM data.
  • Existing tools may lack combined performance and ease of use.

Purpose of the Study:

  • To introduce NanoJ, an open-source image analysis framework for SRM.
  • To showcase NanoJ's capabilities in essential SRM data processing steps.
  • To provide a high-performance and user-friendly solution for SRM analysis.

Main Methods:

  • Development of an open-source image analysis framework named NanoJ.
  • Integration of modules for spatio-temporal alignment (NanoJ-Core).
  • Inclusion of tools for reconstruction (NanoJ-SRRF), quality assessment (NanoJ-SQUIRREL), structural modeling (NanoJ-VirusMapper), and environmental control (NanoJ-Fluidics).

Main Results:

  • NanoJ provides a unified framework for multiple SRM analysis tasks.
  • The framework combines high performance with ease of use.
  • Demonstrated capabilities in alignment, reconstruction, quality assessment, modeling, and environmental control.

Conclusions:

  • NanoJ is a versatile and powerful tool for super-resolution microscopy image analysis.
  • The framework facilitates quantitative analysis and reliability assessment in fluorescence microscopy.
  • Future development will focus on expanding quantitative analysis and reliability measurement tools.