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Journal of Applied Crystallography
|June 7, 2023
Summary
This study presents a method for measuring spatial distortions in CCD-based X-ray detector systems using a calibration grid. The developed Python software enables accurate image correction and pixel refinement for data analysis.
Area of Science:
- X-ray detector systems
- Image processing
- Scientific software development
Background:
- Charge-coupled device (CCD) based X-ray detector systems frequently exhibit spatial distortions.
- These reproducible distortions can be quantified using calibration grids.
Purpose of the Study:
- To introduce a method for measuring spatial distortions in X-ray detector systems.
- To provide a user-friendly software tool for distortion correction.
Main Methods:
- Utilizing a regular, non-orthogonal calibration grid to measure distortions.
- Developing a graphical user interface (GUI) Python software for distortion analysis.
Main Results:
- The method quantifies distortions as displacement matrices or spline functions.
- The software generates spline files compatible with data-reduction tools like FIT2D and pyFAI.
Conclusions:
- The developed method and software effectively measure and correct spatial distortions in X-ray detector images.
- This facilitates accurate image undistortion and pixel position refinement for applications like azimuthal integration.