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SharpViSu: integrated analysis and segmentation of super-resolution microscopy data.

Leonid Andronov1, Yves Lutz1, Jean-Luc Vonesch1

  • 1Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC (Institute of Genetics and of Molecular and Cellular Biology), Illkirch, France Centre National de la Recherche Scientifique (CNRS) UMR 7104, Illkirch, France Institut National de la Santé et de la Recherche Médicale (INSERM) U964, Illkirch, France Université de Strasbourg, Strasbourg, France.

Bioinformatics (Oxford, England)
|May 7, 2016
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Summary
This summary is machine-generated.

SharpViSu is a new open-source software for processing super-resolution microscopy localization data. It offers integrated tools for aberration correction, drift correction, and data analysis, enhancing visualization and resolution estimation.

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Area of Science:

  • Microscopy
  • Biophysics
  • Computational Biology

Background:

  • Super-resolution microscopy generates large localization datasets.
  • Existing software often requires multiple tools for comprehensive analysis.
  • Efficient processing is crucial for accurate biological insights.

Purpose of the Study:

  • Introduce SharpViSu, an integrated open-source software for localization microscopy data processing.
  • Provide a user-friendly graphical interface for complex analysis steps.
  • Demonstrate the utility of SharpViSu on super-resolution datasets.

Main Methods:

  • Developed an interactive software with a graphical user interface.
  • Implemented tools for chromatic aberration and drift correction (iterative cross-correlation).
  • Integrated localization event selection, 2D/3D reconstruction, resolution estimation (Fourier ring correlation), and clustering analysis (Voronoi diagrams, Ripley's functions).

Main Results:

  • SharpViSu processes localization data in an integrated manner.
  • The software is optimized for common eventlist table formats.
  • Successful application demonstrated on single and double-labeled super-resolution data.

Conclusions:

  • SharpViSu provides a comprehensive and accessible platform for super-resolution localization data analysis.
  • The integrated approach simplifies complex workflows.
  • Open-source availability promotes wider adoption and further development.