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distect: automatic sample-position tracking for X-ray experiments using computer vision algorithms.

Michael Berg¹, Dirk Furrer¹, Vincent Thominet²

¹School of Engineering, Zurich University of Applied Sciences, Switzerland.

Journal of Synchrotron Radiation

|October 30, 2024

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A new computer vision algorithm automatically tracks and adjusts sample positions in complex experimental setups. This improves X-ray absorption spectra overlap by tenfold for microscale samples, saving valuable beam time.

Area of Science:

Materials Science
Spectroscopy
Experimental Physics

Background:

Soft X-ray spectroscopy is crucial for material property analysis.
Sub-millimetre sample measurements face limitations due to position drifts.
Complex sample environments hinder traditional drift compensation methods.

Purpose of the Study:

To develop an automated sample tracking and adjustment system for microscale measurements.
To overcome limitations in complex sample environments like ultra-high vacuum and cryogenic temperatures.
To improve the efficiency and accuracy of X-ray absorption spectroscopy experiments.

Main Methods:

Implementation of a robust computer vision algorithm for automated sample tracking.
Application in a specialized sample environment: ultra-high vacuum, cryogenic temperatures (2.5 K), and a superconducting magnet.

Keywords:

computer vision algorithms sample-position accuracy sample-position tracking soft X-ray absorption spectroscopy variable temperature inserts

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Focus on vertical position correction, with potential for 2D extension.

Main Results:

Automated tracking and adjustment of sample position in the tens of micrometres range.
Achieved a tenfold improvement in the overlap of X-ray absorption spectra.
Successfully compensated for position drifts in a challenging experimental setup.

Conclusions:

Computer vision offers an effective solution for sample positioning in demanding experimental conditions.
The developed algorithm enhances data quality and efficiency for microscale spectroscopy.
This method is adaptable to various experimental stations with optical access and limited sample manipulation capabilities.