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X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...

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AutoFocus: AI/ML-driven real-time wavefront diagnostics to autonomously align and optimize X-ray optics.

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We developed an AI system for automated X-ray optics optimization at synchrotron beamlines. This advanced wavefront diagnostics and artificial intelligence (AI) system enhances beam stability and streamlines alignment.

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Area of Science:

Synchrotron radiation science
Artificial intelligence in scientific instrumentation

Background:

Synchrotron beamlines require precise X-ray optics for optimal performance.
Current alignment and optimization procedures can be time-consuming and require manual intervention.

Purpose of the Study:

To develop an integrated system for automated and optimized X-ray optics at synchrotron beamlines.
To leverage artificial intelligence (AI) and advanced wavefront diagnostics for enhanced beamline control.

Main Methods:

Coupling real-time wavefront sensing with AI-driven control algorithms.
Utilizing multi-fidelity transfer learning combining real-world data and digital twin simulations.
Employing multi-objective Bayesian optimization for continuous performance refinement.

Main Results:

Demonstrated enhancement in beam stability and reproducibility at Advanced Photon Source beamlines.
Significant streamlining of X-ray optics alignment procedures.
Reduced optimization time and minimized need for manual adjustments.

Conclusions:

The AI-enhanced control framework enables precise beam alignment, stabilization, and performance optimization.
The system facilitates seamless deployment with existing hardware and provides an intuitive interface.
Represents a significant advancement towards fully autonomous operation in future synchrotron facilities.