Flexible workflows for on-the-fly electron-microscopy single-particle image processing using Scipion

Area of Science:

• Structural Biology
• Biophysics
• Microscopy

Background:

• Electron microscopy (EM) is crucial for determining macromolecular structures.
• Automated image acquisition in EM enhances throughput.
• Scipion software aims to streamline EM data processing.

Purpose of the Study:

• To implement flexible and robust image-processing workflows in Scipion.
• To enable operators and users to monitor EM data quality.
• To provide automated quality assessment without programming skills.

Main Methods:

• Development of automated image-processing workflows within Scipion.
• Implementation of quality control measures for EM data acquisition.
• Utilizing Scipion for real-time assessment of resolution and heterogeneity.

Main Results:

• Scipion workflows allow monitoring of image acquisition quality.
• Users can obtain initial estimates of volume, resolution, and heterogeneity.
• Automated decision-making and failure warnings are integrated.

Conclusions:

• Scipion facilitates efficient and accessible EM data processing.
• Automated workflows enhance quality control in structural biology.
• The approach is demonstrated using a high-resolution beta-galactosidase dataset.