Mastering CT: Advanced Techniques in Practice #2. Automating Workflows for X-ray CT

Tired of repeating the same CT scans over and over?

If you're scanning similar samples again and again—or need consistent data across batches—automation can save you time, reduce errors, and make your workflow far more efficient. In this webinar, we’ll show how to standardize and automate both CT data collection and analysis using practical tools and real-world examples. From setting up automated sample changers to streamlining processing in software, you'll see how to get repeatable results without the repetitive work.

You will learn:

• How to set up automated CT scanning for multiple or similar samples
• Tips for choosing mounts and sample handling tools that support repeatability
• How to use software tools like VG STUDIO MAX and Dragonfly to automate data processing
• Real examples showing how automation improves speed, consistency, and analysis quality

Presenter: Angela Criswell | Co-presenter: Ted Huang | Host: Katelynn Stuchlik

Downloads

Download: Automating Workflows for X-ray CT

• Webinar series: https://rigaku.com/products/imaging-ndt/x-ray-ct/learning/x-ray-ct-webinars-and-workshops/mastering-ct-advanced-techniques-in-practice
  
  
• XCOM website: https://physics.nist.gov/PhysRefData/Xcom/html/xcom1.html
  
  
• MUCALC reference: Hanna, R.D., Ketcham, R.A., 2017. Geochemistry 77, 547–572. https://doi.org/10.1016/j.chemer.2017.01.006
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• Webinar on how to select kV and filter for your CT experiment: https://rigaku.com/products/imaging-ndt/x-ray-ct/learning/blog/how-to-choose-kv-and-filter-for-your-micro-ct-experiment
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• Webinar on how to collect data for high Z and high density samples: https://rigaku.com/products/imaging-ndt/x-ray-ct/learning/x-ray-ct-webinars-and-workshops/mastering-ct-advanced-techniques-in-practice/high-attenuation-sample-imaging
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• Webinar on how to improve signal-to-noise for your CT experiment: https://rigaku.com/products/imaging-ndt/x-ray-ct/learning/blog/how-improve-signal-noise-ration-xray-ct-images
  
  
• Webinar on how to recognize artifacts and minimize them in your CT data: https://rigaku.com/products/imaging-ndt/x-ray-ct/learning/blog/recognize-and-minimize-ct-artifacts
  
  
• Reference: du Plessis, A., Tshibalanganda, M., le Roux, S.G., 2020. “Not all scans are equal: X-ray tomography image quality evaluation.” Mater. Today Commun. 22, 100792. https://doi.org/10.1016/j.mtcomm.2019.100792
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• Reference: Rodríguez-Sánchez, Á., Thompson, A., Körner, L., Brierley, N., Leach, R., 2020. “Review of the influence of noise in X-ray computed tomography measurement uncertainty.” Precision Engineering 66, 382–391. https://doi.org/10.1016/j.precisioneng.2020.08.004
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• Software for Automation:
  • VGSTUDIO MAX: https://volumegraphics.hexagon.com/en/products/vgstudio-max.html
    
  • Dragonfly: https://dragonfly.comet.tec
  • GeoDict: https://www.math2market.com