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Updated: May 5, 2026

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SPRING - an image processing package for single-particle based helical reconstruction from electron cryomicrographs.

Ambroise Desfosses1, Rodolfo Ciuffa2, Irina Gutsche3

  • 1EMBL - European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstr. 1, 69917 Heidelberg, Germany; Univ. Grenoble Alpes, UVHCI, F-38000 Grenoble, France; CNRS, UVHCI, F-38000 Grenoble, France; Unit for Virus Host-Cell Interactions, Univ. Grenoble Alpes-EMBL-CNRS, 6 rue Jules Horowitz, 38042 Grenoble, France.

Journal of Structural Biology
|November 26, 2013
PubMed
Summary

We developed SPRING, a software package for helical reconstruction, simplifying macromolecular structure determination. It integrates Fourier and real-space methods for efficient 3D structure analysis of helical assemblies.

Keywords:
3D reconstructionElectron cryomicroscopyHelical assemblyHelical symmetryImage processingSoftware

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Helical reconstruction from electron cryomicroscopy is crucial for determining the 3D structure of helical assemblies.
  • Advancements in single-particle techniques have significantly impacted helical reconstruction methodologies.
  • Determining initial symmetry parameters is a major bottleneck in helical reconstruction.

Purpose of the Study:

  • To introduce SPRING, a software package that streamlines helical reconstruction by combining Fourier-based symmetry analysis and real-space helical processing.
  • To present a novel class-based helical reconstruction approach for efficient exploration of symmetry combinations.
  • To enable high-resolution 3D structure determination of helical specimens, including those with heterogeneous symmetries.

Main Methods:

  • Developed the SPRING software package integrating Fourier and real-space helical processing.
  • Implemented a class-based helical reconstruction approach for simultaneous symmetry evaluation.
  • Utilized single-particle based helical reconstruction with power spectrum correlation for symmetry refinement.
  • Validated the workflow using Tobacco Mosaic Virus (TMV) cryo-electron micrographs.

Main Results:

  • Demonstrated successful subnanometer resolution (6.4Å) 3D reconstruction of TMV using 50,000 asymmetric units from two micrographs.
  • SPRING integrates multiple helical reconstruction steps into a single, user-friendly workflow.
  • The software facilitates analysis of both well-ordered and heterogeneous helical specimens.

Conclusions:

  • SPRING provides a user-friendly and efficient workflow for high-resolution helical reconstruction.
  • The developed methods accelerate the determination of initial symmetry parameters, a critical step.
  • This approach expands the applicability of helical reconstruction to a broader range of biological macromolecules, including heterogeneous samples.