XRM University: XRM 102 Context Operation

ZEISS Xradia Context® micro-computed tomography (microCT) is an easy-to-use system for analysis of all types of samples. A high-array detector enables high resolution of fine details even with relatively large imaging volumes. The system features a large field of view, rapid sample mounting and alignment, streamlined acquisition workflow and fast exposure and data reconstruction times.

This workshop is an introduction to X-ray imaging with a focus on ZEISS Xradia Context MicroCT systems. No prior imaging background is assumed for attendees, but they are strongly recommended to have access to a Context system on the day of the workshop in order to maximize their learning.

This is a 3-hour with a short break

Topics that will be covered in this workshop include:

• Basics of X-ray imaging, different X-ray imaging systems and their components
• Context Operation: Choosing the right parameters (Objective, Filter, kV, number of projections) and setting up an optimized full field of view scan on a ZEISS Xradia Context MicroCT
  
• Scout and Zoom: Finding the Region of Interest (ROI) inside of the sample and set up a higher resolution scan
• Reconstruction Basics: Centershift, Beam Hardening, and how to improve your reconstruction results
  

Who should attend?

• New users of ZEISS Xradia Context instruments
• Infrequent Context users in need of a refresh on scan setup and optimization
• Lab managers or technicians looking to improve their own skill level to better support and/or train other users of the instrument

Learning objectives after completion of this workshop, attendees should:

• Have an improved understanding of the fundamentals of X-rays as an imaging modality
• Improve their parameter selection to optimize the quality and contrast of their Context scan results
• Be able to run basic reconstruction and modify the results if needed

This is a paid workshop.​
Spots are limited.​

Access to a ZEISS Xradia Context system is strongly recommended to apply lessons learned and share results with applications team for further support.​