AreTomo: An integrated software package for automated marker-free, motion-corrected cryo-electron tomographic...

Area of Science:

• Cryo-electron tomography (cryo-ET)
• Computational imaging
• Structural biology

Background:

• Beam-induced motion significantly degrades tomogram quality in cryo-ET.
• Accurate alignment and reconstruction are crucial for high-resolution structural analysis.
• Existing methods often struggle with local motion correction.

Purpose of the Study:

• To introduce AreTomo, a GPU-accelerated software for automated motion-corrected tomographic alignment and reconstruction.
• To demonstrate AreTomo's capability for marker-free, high-accuracy tomogram generation.
• To highlight AreTomo's utility for both direct subtomogram averaging and real-time feedback during data acquisition.

Main Methods:

• GPU-accelerated processing for rapid alignment and reconstruction.
• Correction of in-plane rotation, translation, and local beam-induced motion.
• Implementation of multiple alignment algorithms for robust performance.

Main Results:

• AreTomo fully automates motion-corrected, marker-free tomographic alignment and reconstruction.
• Achieved tomograms are accurate enough for direct subtomogram averaging.
• Demonstrated on-the-fly reconstruction for real-time feedback during tilt series collection.
• Residual local motion after correction was ±80 Å, confirming critical local motion correction.

Conclusions:

• AreTomo provides a comprehensive solution for high-resolution cryo-ET.
• Accurate local motion correction is essential for achieving high resolution in cryo-ET.
• The software facilitates improved data quality and efficient experimental workflows.