Scipion-ED: a graphical user interface for batch processing and analysis of 3D ED/MicroED data.

Area of Science:

• Crystallography and Structural Biology
• Electron Microscopy and Diffraction

Background:

• Three-dimensional electron diffraction (3D ED) and microcrystal electron diffraction (MicroED) are increasingly utilized techniques.
• Current data processing for 3D ED/MicroED often relies on command-line interfaces or scripting, posing a barrier for some researchers.
• A need exists for user-friendly software to streamline the analysis of 3D ED/MicroED data.

Purpose of the Study:

• To introduce Scipion-ED, a novel graphical user interface (GUI) and framework for processing 3D ED/MicroED data.
• To demonstrate the utility of Scipion-ED by processing experimental data of tetragonal lysozyme.
• To compare different data merging strategies for their effectiveness in resolving structural features.

Main Methods:

• Development and implementation of the Scipion-ED software with an extendable framework.
• Processing of multiple 3D ED/MicroED datasets from tetragonal lysozyme using Scipion-ED.
• Integration and utilization of the DIALS software package within the Scipion-ED GUI.
• Comparative analysis of three data merging strategies to assess their impact on electrostatic potential maps.

Main Results:

• Scipion-ED successfully provided a GUI for processing 3D ED/MicroED data, simplifying the workflow.
• The processing of lysozyme datasets demonstrated the practical application of Scipion-ED and DIALS.
• Comparison of merging strategies revealed differences in the ability to resolve unmodelled features in the electrostatic potential map.

Conclusions:

• Scipion-ED offers an accessible and efficient platform for 3D ED/MicroED data analysis.
• The software framework supports various data processing strategies, including different merging approaches.
• Scipion-ED facilitates advanced structural analysis by enabling detailed comparison of data processing outcomes.