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Effect of crystal-to-detector distance shift on data processing in serial crystallography.
1College of General Education, Kookmin University, Seoul, Republic of Korea.
Plos One
|June 26, 2025
Summary
Accurate crystal-to-detector distance (CTDD) is crucial for serial crystallography (SX) data quality. Deviations in CTDD impact unit cell distribution and structure refinement, though some tolerance exists for macromolecular structure determination.
Area of Science:
- Structural Biology
- Biophysics
- Crystallography
Background:
- Serial crystallography (SX) enables room-temperature macromolecular structure determination with minimized radiation damage.
- Continuous crystal delivery in SX leads to variations in crystal-to-detector distance (CTDD) during data collection.
- The impact of CTDD variations on SX data quality and processing remains incompletely understood.
Purpose of the Study:
- To assess the influence of crystal-to-detector distance (CTDD) accuracy on serial crystallography (SX) data quality.
- To investigate how variations in CTDD affect data processing parameters and structural results.
- To provide insights for optimizing SX data processing and interpretation.
Main Methods:
- Collected serial synchrotron crystallographic data for hen egg white lysozyme (HEWL) and glucose isomerase (GI).
- Processed SX data using three indexing algorithms at various CTDDs.
- Analyzed unit cell distributions, indexing trends, and structure refinement statistics (Rfree) at different CTDDs.
Main Results:
- The CTDD yielding maximum indexed images differed from the optimized CTDD, with algorithm-dependent trends.
- Deviations from the actual CTDD distorted unit cell distribution and altered indexed unit cell dimensions.
- Structure solution was achievable with ±10 mm CTDD deviation for HEWL and GI, though data quality decreased with larger deviations.
Conclusions:
- CTDD accuracy significantly impacts SX data processing and unit cell parameter determination.
- While some CTDD deviation is tolerated for structure solution, optimal data quality requires precise CTDD.
- These findings are valuable for improving the efficiency and reliability of serial crystallography data processing.
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