Wiley Webinar

One of the principal challenges when applying X-ray microscopy to solve academic and industrial problems is a compromise one needs to make between imaging throughput and image quality. High resolution 3D X-ray microtomography acquisition times can be on the order of several hours, which can lead to challenging return-on-investment (ROI) calculations when weighing the relative advantage of high accuracy 3D analysis with cheaper, less capable analytical techniques.

This webinar will discuss new AI-based reconstruction techniques that increase throughput and provide improved image quality, making 3D X-ray microtomography a powerful and cost-effective tool for an expanded range of markets, users, and applications.This webinar will discuss new AI-based reconstruction techniques that increase throughput and provide improved image quality, making 3D X-ray microtomography a powerful and cost-effective tool for an expanded range of markets, users, and applications.

In this webinar, you will learn:

• New reconstruction technologies enabling throughput or image quality improvements in 3D X-ray imaging
• Deep learning for repetitive workflows
• Iterative reconstruction for faster in situ
• Improved image quality for interior tomographies