Seeing the unseen

X-ray tomography is an indirect imaging technique that captures 2D X-ray attenuation projections of an object as it rotates along a circular trajectory. The crucial step of reconstructing these 2D projections into 3D volumes relies on having good contrast, low noise, and sufficient angular sampling in the original projections. As with any microscopic imaging method, users face the dilemma of obtaining a representative image of the sample (large field of view) at the cost of resolution, or imaging at high resolution but losing context and statistical relevance.

While technological advancements in hardware components (such as larger, faster detectors and more powerful sources) can partially address this issue, improving one performance parameter (e.g., speed, image quality, resolution) often negatively impacts the others. Consequently, users must make difficult compromises between throughput, statistical representativity, and image quality in their XRM instrument.
Our recent work has successfully overcome these fundamental barriers by innovating the reconstruction process in the imaging chain. The ZEISS Advanced Reconstruction Toolbox (ART) offers a comprehensive, user-friendly solution to enhance X-ray microscopy imaging performance, paving the way for new scientific discoveries.

In this webinar, we will discuss the challenges that typical X-ray CT and XRM users face and introduce DeepRecon Pro, ZEISS's proprietary deep learning-based reconstruction solution. DeepRecon Pro significantly reduces noise levels in tomographic images and enables up to 10X speed improvement. Lastly, we will explore how DeepScout delivers resolution restoration to XRM users, unlocking new scientific possibilities.