Fully automatic characterization and data collection from crystals of biological macromolecules

Area of Science:

• Structural Biology
• Crystallography
• Biophysics

Background:

• Evaluating macromolecular crystals at synchrotron sources involves repetitive tasks.
• Manual intervention in initial screening and data collection can be time-consuming.

Purpose of the Study:

• To develop a fully automated system for mounting, locating, centering, characterizing, and collecting data from cryocooled crystals.
• To decrease manual intervention in repetitive structural biology workflows.

Main Methods:

• An automated system was developed to handle multiple cryocooled crystals.
• Pixel-array detectors and X-ray-based routines were utilized for rapid sample evaluation.
• Automated characterization included flux, beam size, and crystal volume for optimal data collection strategies.

Main Results:

• The system averages 6 minutes per sample, matching human operator speed.
• It successfully evaluated over 8000 samples on the ESRF MASSIF-1 beamline without human intervention.
• The system handles diverse sample types, including crystals smaller than 20 µm.

Conclusions:

• The automated system streamlines macromolecular crystal evaluation and data collection.
• It enhances efficiency in structural biology by minimizing manual tasks.
• The system's successful operation demonstrates its utility for both industrial and academic users.