{"id":246646,"date":"2026-11-05T10:23:42","date_gmt":"2026-11-05T16:23:42","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/11\/synaps-i-intelligent-computing-transforms-x-ray-imaging-from-data-collection-to-discovery"},"modified":"2026-11-05T10:23:42","modified_gmt":"2026-11-05T16:23:42","slug":"synaps-i-intelligent-computing-transforms-x-ray-imaging-from-data-collection-to-discovery","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/11\/synaps-i-intelligent-computing-transforms-x-ray-imaging-from-data-collection-to-discovery","title":{"rendered":"SYNAPS-I: Intelligent computing transforms X-ray imaging, from data collection to discovery"},"content":{"rendered":"\n<p><iframe title=\"SYNAPS-I: Intelligent computing transforms X-ray imaging, from data collection to discovery\" style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/EZx8j_f4zA8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows\u2014using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information.<\/p>\n<p>SYNAPS-I (Synergistic Neutron and Photon Science\u2014Intelligence), a seed project under the ModCon initiative within DOE\u2019s Genesis Mission, is bringing these capabilities together across X-ray light source and neutron facilities. Led by DOE\u2019s Lawrence Berkeley National Laboratory\u2019s Advanced Light Source, the multilaboratory collaboration includes DOE\u2019s Argonne National Laboratory, DOE\u2019s Oak Ridge National Laboratory, DOE\u2019s SLAC National Accelerator Laboratory and DOE\u2019s Brookhaven National Laboratory.<\/p>\n<p>The project combines expertise across the laboratories with open-source computational intelligence models, industry partnerships and advanced computing resources to develop shared solutions for faster, more efficient imaging.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows\u2014using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information. [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-246646","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/246646","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=246646"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/246646\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=246646"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=246646"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=246646"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}