speckle-tracking: a software suite for ptychographic X-ray speckle tracking

Area of Science:

• Optics and Photonics
• X-ray Science
• Computational Imaging

Background:

• X-ray speckle-tracking techniques are valuable for wavefront metrology and imaging.
• These methods offer high angular sensitivity and compatibility with various X-ray sources.
• Existing techniques require rapid and robust software for full capability realization.

Purpose of the Study:

• To develop a software suite for the ptychographic X-ray speckle-tracking technique.
• To enable rapid and robust characterization of X-ray optical elements and sample properties.
• To provide an accessible and efficient software solution for advanced X-ray imaging.

Main Methods:

• Development of a software suite in Python 3.
• Implementation of an OpenCL back end for GPU and multi-CPU core processing.
• The software supports ptychographic X-ray speckle-tracking for highly divergent wavefields.

Main Results:

• The developed software suite provides rapid and robust processing for X-ray speckle-tracking.
• It enables detailed characterization of X-ray optical elements, focal spots, and sample properties.
• The software is accessible via Python module, command line, and GUI.

Conclusions:

• The software suite effectively addresses the need for rapid and robust processing in X-ray speckle-tracking.
• It enhances the capabilities of ptychographic X-ray speckle-tracking for advanced applications.
• The open-source availability promotes wider adoption and further development in the field.