Xi-cam: a versatile interface for data visualization and analysis

Area of Science:

• Materials Science
• Data Science
• Scientific Computing

Background:

• Synchrotron data analysis demands robust, high-throughput processing solutions.
• Existing platforms may lack flexibility for diverse experimental techniques and collaborative development.

Purpose of the Study:

• To introduce Xi-cam, an extensible platform for synchrotron data management, analysis, and visualization.
• To address the challenges of high-volume and high-throughput data processing in scientific research.

Main Methods:

• Xi-cam features a plugin-based graphical user interface for interactive algorithm access.
• An advanced mode allows data processing as graph-based workflows executable locally or remotely.
• Supports various data types including SAXS/WAXS/GISAXS/GIWAXS, tomography, and NEXAFS.

Main Results:

• Xi-cam provides a flexible and extensible approach to synchrotron data treatment.
• Enables efficient reduction of high-throughput data using high-performance computing.
• Facilitates cross-facility and cross-technique collaborative development for multi-modal analysis.

Conclusions:

• Xi-cam offers a powerful, open-source solution for modern synchrotron data challenges.
• Its architecture promotes collaboration and adaptability for diverse scientific needs.
• Available on GitHub, promoting accessibility and community-driven enhancement.