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Updated: Jul 10, 2026

Microcrystallography of Protein Crystals and In Cellulo Diffraction
Published on: July 21, 2017
2dx_merge: data management and merging for 2D crystal images
Bryant Gipson1, Xiangyan Zeng, Henning Stahlberg
1Molecular and Cellular Biology, Briggs Hall, College of Biological Sciences, University of California at Davis, 1 Shields Avenue, Davis, CA 95616, USA.
Electron crystallography software (2dx) now includes 2dx_merge for improved management and merging of 2D crystal image data. This iterative process enhances the resolution of membrane protein structure determination.
Area of Science:
- Structural biology
- Biophysics
- Computational biology
Background:
- Electron crystallography is vital for determining membrane protein structures.
- Accurate image processing is crucial for high-resolution structural data.
- Previous software (2dx) offered user-friendly processing of 2D crystal images.
Purpose of the Study:
- To introduce 2dx_merge, a new program for managing 2D crystal image processing projects.
- To facilitate the merging of data from multiple images for improved structural reconstruction.
- To enable iterative refinement of structural data for enhanced resolution.
Main Methods:
- Utilizing the transmission electron microscope for low-dose imaging of 2D crystallized membrane proteins.
- Employing computer image processing, with 2dx_image as a core component based on the MRC program suite.
- Introducing 2dx_merge for project management and data merging from multiple images.
Main Results:
- The 2dx_merge program assists in managing 2D crystal image processing projects.
- Merging data from multiple images can serve as a reference for re-processing, improving reconstruction resolution.
- Iterative application of image processing and merging leads to convergence and higher resolution.
Conclusions:
- The 2dx software suite, including 2dx_merge, provides a comprehensive solution for electron crystallography of membrane proteins.
- Iterative data processing and merging significantly enhance the resolution of final structural reconstructions.
- The software is freely available under the GNU General Public License, promoting accessibility in structural biology research.
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