Solution scattering at the Life Science X-ray Scattering (LiX) beamline

Area of Science:

• Structural Biology
• Biophysics
• Materials Science

Background:

• Biomolecular solution scattering is crucial for determining the structure and dynamics of biological macromolecules.
• Automated experimental setups are needed to increase throughput and reproducibility in scattering experiments.

Purpose of the Study:

• To report the development and implementation of automated instrumentation and software at the Life Science X-ray Scattering (LiX) beamline.
• To support high-throughput biomolecular solution scattering measurements.

Main Methods:

• Implementation of a six-axis robot for automated sample handling from storage to the X-ray beam.
• Integration of beamline control software with a high-performance liquid chromatography (HPLC) system for in-line size-exclusion chromatography.
• Development of the Python package py4xs for automated data processing, including azimuthal averaging, merging, buffer subtraction, and data export.

Main Results:

• The automated system can process up to 20 sample holders (360 samples) in approximately 9 hours.
• The beamline supports both static and in-line HPLC measurements with instantaneous switching.
• Scattering data are collected over a wide q-range (0.006–3.2 Å⁻¹).
• Automated data processing functionalities are available via graphical user interfaces in Jupyter notebooks.

Conclusions:

• The developed instrumentation and software significantly enhance the efficiency and capabilities of biomolecular solution scattering at the LiX beamline.
• The automated workflow facilitates high-throughput structural biology research.
• The integrated data processing tools simplify data analysis for researchers.