{"id":297,"date":"2026-09-23T10:37:51","date_gmt":"2026-09-23T10:37:51","guid":{"rendered":"https:\/\/vision.projects.unibz.it\/?page_id=297"},"modified":"2026-10-27T14:52:15","modified_gmt":"2026-10-27T14:52:15","slug":"xct-lab","status":"publish","type":"page","link":"https:\/\/vision.projects.unibz.it\/?page_id=297","title":{"rendered":"XCT Lab"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">3D X-ray Computed Tomography<\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">A new X-ray Computed Tomography Research Laboratory for Industrial Applications (XCT-Lab) of unibz will be established at NOI Techpark in Brunico. The laboratory will be equipped with a high-resolution CT scanner for offline, sample-based inspection and an in-line X-ray tomography system capable of acquiring three-dimensional images directly during production. While the in-line system will operate at a lower spatial resolution, it will achieve acquisition speeds compatible with industrial manufacturing cycles.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The research will develop AI-based methods that transfer the quantitative measurement and defect-detection capabilities of high-resolution CT to fast scanners suitable for in-line operation. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Research<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">By closely integrating <strong>computer vision<\/strong>, numerical simulation, and <strong>physics-informed machine learning<\/strong>, the project aims to lay the foundations for next-generation, CT-based in-line quality control of polymer, steel, and other metallic components.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The proposed framework will enable the automated <strong>detection and characterization of defects<\/strong> in three-dimensional in-line CT data. Combined simulation-driven and data-driven models will subsequently predict how these defects affect <strong>component performance<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The laboratory will also develop <strong>large-scale benchmark datasets<\/strong> for industrial CT and foster methodological advances through international scientific challenges and <strong>competitions<\/strong>. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An <strong>industrial advisory board<\/strong> will be established to ensure grounding of research objectives in industry needs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">People<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Laboratory Head, PI<\/strong>: Prof. Oswald Lanz, PhD<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Co-Investigator<\/strong>: Prof. Franco Concli, PhD<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Team<\/strong>: Andrea Cittadini, Vedang Nadkarni, Artem Merinov<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Collaborators<\/strong>: A. Torcinovich, A. Bombini (INFN Florence)<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Funding<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Program<\/strong>: ERDF 2021-2027, <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Funding scheme<\/strong>: Third Call, Priority 1, Action 2<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Duration<\/strong>: 01 January 2026 &#8211; 31 December 2028<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-cyan-bluish-gray-color has-alpha-channel-opacity has-cyan-bluish-gray-background-color has-background is-style-default\"\/>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns are-vertically-aligned-center is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:101px\"><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"149\" data-id=\"367\" src=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2026\/10\/EN_CI-Co-funded-Rep-Prov_horizontal_POS-1024x149.png\" alt=\"\" class=\"wp-image-367\" srcset=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2026\/10\/EN_CI-Co-funded-Rep-Prov_horizontal_POS-1024x149.png 1024w, https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2026\/10\/EN_CI-Co-funded-Rep-Prov_horizontal_POS-300x44.png 300w, https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2026\/10\/EN_CI-Co-funded-Rep-Prov_horizontal_POS-762x111.png 762w, https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2026\/10\/EN_CI-Co-funded-Rep-Prov_horizontal_POS-1536x224.png 1536w, https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2026\/10\/EN_CI-Co-funded-Rep-Prov_horizontal_POS.png 1607w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:78px\"><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>3D X-ray Computed Tomography A new X-ray Computed Tomography Research Laboratory for Industrial Applications (XCT-Lab) of unibz will be established at NOI Techpark in Brunico. The laboratory will be equipped with a high-resolution CT scanner for offline, sample-based inspection and an in-line X-ray tomography system capable of acquiring three-dimensional images directly during production. While the in-line system will operate at a lower spatial resolution, it will achieve acquisition speeds compatible with industrial manufacturing cycles. The research will develop AI-based methods that transfer the quantitative measurement and defect-detection capabilities of high-resolution CT to fast scanners suitable for in-line operation. Research By [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-297","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages\/297","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=297"}],"version-history":[{"count":44,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages\/297\/revisions"}],"predecessor-version":[{"id":412,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages\/297\/revisions\/412"}],"wp:attachment":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}