SYNAPS-I: Intelligent computing transforms X-ray imaging, from data collection to discovery

National laboratory researchers integrated machine learning models directly into X-ray beamline experiments to automate data collection and image reconstruction. The system selects sample regions autonomously and reconstructs three-dimensional ptychography images at 200 frames per second using one-tenth of typical data volumes. This allows researchers to reduce radiation damage to samples and complete measurements with far less beam time.

Summary written by AI Business Lens with an AI model from the article at techxplore.com. It is not the article, and the publisher has not reviewed it. For publishers.

Read the original at techxplore.com   Generate teaching or study materials

Instructors get discussion guides, assignments, and mini-cases. Students and readers get a plain summary, points to raise, an exercise, and a self-check. All built from the full article. A free account saves stories and gives you three generations. Stories stay on the brief for 14 days. After that this page keeps the link to the original.