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Updated: Jun 23, 2026

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
Published on: January 30, 2016
A robotic and high-throughput X-ray micro-computed tomography workflow
Xiaoyang Liu1, Alex Lavens1, James Bennett O'Sullivan1
1Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.
Abstract:
With the recent upgrades of synchrotron facilities and an increasing demand for artificial intelligence (AI)-ready scientific datasets, there is a growing interest in high-throughput and automated experimental workflows to accelerate large-scale data-driven research. In this work, we demonstrate a fully automated data collection workflow for synchrotron micro-computed tomography experiment on soil cores on beamline 7-BM at the Advanced Photon Source (APS), operating without expert supervision. The automation integrates sample exchange, multi-position movement and data acquisition. A self-contained robotic arm system is designed for rapid and reliable sample exchange. It accommodates various sample types and can be readily deployed across multiple APS beamlines. Additionally, the beamline has recently upgraded the sample stage stacks to enable a large travel range and an efficient macroscope-based imaging system, enabling characterization of highly attenuating and large samples. This work establishes a foundation for future closed-loop, adaptive and intelligent synchrotron micro-computed tomography experiments.
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