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GDSC SMLM: Single-molecule localisation microscopy software for ImageJ.

Thomas J Etheridge1, Antony M Carr1, Alex D Herbert1

  • 1Genome Damage and Stability Centre, School of Life Sciences, University of Sussex, Falmer, BN1 9RQ, UK.

Wellcome Open Research
|June 23, 2023
PubMed
Summary
This summary is machine-generated.

GDSC SMLM software offers tools for super-resolution microscopy image analysis. It processes single-molecule localisation microscopy (SMLM) data for molecular behavior insights.

Keywords:
ImageJJavaSMLMfluorescence imagingsingle-moleculesoftwaresuper-resolution

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Area of Science:

  • Biophysics
  • Microscopy
  • Computational Biology

Background:

  • Single-molecule localisation microscopy (SMLM) generates super-resolution images from fluorescent molecule data.
  • Analysis of SMLM data is crucial for understanding molecular behavior and cellular processes.

Purpose of the Study:

  • To introduce the GDSC SMLM software, a comprehensive tool for SMLM data analysis.
  • To provide a unified, cross-platform environment for SMLM data processing and analysis.

Main Methods:

  • The software employs stages of spot detection, fitting, and rejection to identify and localize fluorescent molecules.
  • It includes visualization, cropping, and filtering tools for localization datasets.
  • Downstream analysis capabilities encompass single-particle tracking, cluster analysis, and drift correction.

Main Results:

  • GDSC SMLM software successfully identifies and localizes fluorescent molecules from raw microscope images.
  • The software facilitates advanced analyses such as particle tracking and drift correction.
  • It also offers utility tools for camera and point spread function (PSF) modeling for data simulation.

Conclusions:

  • GDSC SMLM provides a versatile and integrated software solution for SMLM data analysis.
  • The software enhances the extraction of molecular information from super-resolution microscopy.
  • Its plugin-based architecture for ImageJ ensures accessibility and extensibility.