Digitization of imaging plates from Guinier powder X-ray diffraction cameras

Area of Science:

• Crystallography
• Materials Science
• Analytical Chemistry

Background:

• Guinier diffractometry is crucial for powder X-ray pattern analysis.
• Instrumental errors can compromise the quality and accuracy of scanned Guinier data.
• Standardized data processing is essential for reliable crystallographic studies.

Purpose of the Study:

• To identify and mitigate instrumental errors in Guinier camera data acquisition.
• To develop user-friendly software for processing scanned Guinier images into standard powder X-ray patterns.
• To validate the accuracy and reproducibility of the processed data for further analysis.

Main Methods:

• Utilized a Guinier camera with an imaging plate for data collection.
• Developed a graphical user interface (GUI) program for data conversion and correction.
• Employed reference materials (LaB₆, NaCl, sodalite) for scale calibration and data validation.

Main Results:

• The developed software effectively converts scanned images into standard powder X-ray patterns with intensities and standard deviations.
• Manual and automatic 2θ scale correction against reference materials is feasible.
• Processed X-ray diffraction patterns exhibit sufficient 2θ scale reproducibility for averaging multiple exposures.
• The data quality is adequate for Rietveld refinement, as demonstrated with a mixed-phase sample.

Conclusions:

• The presented software successfully addresses instrumental errors in Guinier data.
• The processed powder X-ray diffraction data is reliable and suitable for quantitative analysis, including Rietveld refinement.
• The software, including source code, is freely available, promoting wider adoption and research.