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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: Jun 23, 2026

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

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.

Journal of Synchrotron Radiation
|June 22, 2026
PubMed
Summary
This summary is machine-generated.

A new automated workflow enables high-throughput synchrotron micro-computed tomography data collection for soil cores without expert supervision. This accelerates the creation of artificial intelligence-ready scientific datasets for data-driven research.

Keywords:
X-ray imagingautomationhigh-contrast sampleshigh-energy studiesmicrotomography

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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

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Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
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Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

Related Experiment Videos

Last Updated: Jun 23, 2026

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

Area of Science:

  • Materials Science
  • Geoscience
  • Data Science

Background:

  • Growing demand for artificial intelligence (AI)-ready scientific datasets necessitates high-throughput experimental workflows.
  • Synchrotron micro-computed tomography (micro-CT) is crucial for analyzing complex samples like soil cores.
  • Current methods often lack the automation required for large-scale data generation.

Purpose of the Study:

  • To demonstrate a fully automated data collection workflow for synchrotron micro-CT experiments on soil cores.
  • To enable unsupervised operation of experimental beamlines, accelerating data acquisition.
  • To lay the groundwork for future adaptive and intelligent synchrotron experiments.

Main Methods:

  • Implementation of a fully automated workflow integrating sample exchange, multi-position movement, and data acquisition.
  • Development of a self-contained robotic arm system for rapid and reliable sample exchange.
  • Utilizing upgraded beamline sample stage stacks and an efficient macroscope-based imaging system for diverse sample types.

Main Results:

  • Successful demonstration of unsupervised, automated data collection for synchrotron micro-CT on soil cores at beamline 7-BM, Advanced Photon Source (APS).
  • The robotic system efficiently handles various sample types and facilitates deployment across multiple beamlines.
  • The upgraded imaging system enables characterization of large and highly attenuating samples.

Conclusions:

  • The developed automated workflow significantly enhances the efficiency and throughput of synchrotron micro-CT data collection.
  • This automation is a critical step towards realizing AI-ready scientific datasets for large-scale research.
  • The established foundation supports the future development of closed-loop, adaptive, and intelligent experimental systems.