{"id":228903,"date":"2026-01-13T05:23:10","date_gmt":"2026-01-13T11:23:10","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/01\/novel-ai-method-sharpens-3d-x-ray-vision"},"modified":"2026-01-13T05:23:10","modified_gmt":"2026-01-13T11:23:10","slug":"novel-ai-method-sharpens-3d-x-ray-vision","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/01\/novel-ai-method-sharpens-3d-x-ray-vision","title":{"rendered":"Novel AI method sharpens 3D X-ray vision"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/novel-ai-method-sharpens-3d-x-ray-vision.jpg\"><\/a><\/p>\n<p>X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer chips and advanced battery materials, without performing anything invasive. It\u2019s the same basic method behind medical CT scans.<\/p>\n<p>Scientists or technicians capture X-ray images as an object is rotated, and then advanced software mathematically reconstructs the object\u2019s 3D internal structure. But imaging fine details on the nanoscale, like features on a microchip, requires a much higher spatial resolution than a typical medical CT scan\u2014about 10,000 times higher.<\/p>\n<p>The Hard X-ray Nanoprobe (HXN) beamline at the National Synchrotron Light Source II (NSLS-II), a U.S. Department of Energy (DOE) Office of Science user facility at DOE\u2019s Brookhaven National Laboratory, is able to achieve that kind of resolution with X-rays that are more than a billion times brighter than traditional CT scans.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer chips and advanced battery materials, without performing anything invasive. It\u2019s the same basic method behind medical CT scans. Scientists or technicians capture X-ray images as an object is rotated, and then advanced software mathematically reconstructs [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,4,6],"tags":[],"class_list":["post-228903","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-nanotechnology","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/228903","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=228903"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/228903\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=228903"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=228903"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=228903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}