{"id":1347,"date":"2026-01-10T10:55:00","date_gmt":"2026-01-10T10:55:00","guid":{"rendered":"https:\/\/www.trophy-project.eu\/?p=1347"},"modified":"2026-09-29T13:19:06","modified_gmt":"2026-09-29T13:19:06","slug":"new-publication-in-acs-nano-a-roadmap-for-raman-spectroscopy-fair-principles-and-ai","status":"publish","type":"post","link":"https:\/\/www.trophy-project.eu\/?p=1347","title":{"rendered":"New publication in ACS Nano: A roadmap for Raman Spectroscopy, FAIR Principles, and AI"},"content":{"rendered":"\n<div class=\"wp-block-columns is-not-stacked-on-mobile 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:74.01%\">\n<p class=\"alignfull wp-block-paragraph\">A new review and perspective paper titled <strong>&#8220;Artificial Intelligence-Powered Raman Spectroscopy through Open Science and FAIR Principles&#8221;<\/strong> has been published in <em>ACS Nano<\/em> (<a href=\"https:\/\/doi.org\/10.1021\/acsnano.5c09165?utm_source=gemini\" target=\"_blank\" rel=\"noopener\">DOI: 10.1021\/acsnano.5c09165<\/a>). Co-authored by researchers from <strong>CNR-IFN<\/strong> (<strong>Renzo Vanna<\/strong> and <strong>Victor Alcolea Rodriguez<\/strong>), the article outlines how Open Science and digital workflows can drive the integration of artificial intelligence into Raman spectroscopy.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:45%\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1528\" height=\"1594\" src=\"https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/Graph-nobkg.png\" alt=\"\" class=\"wp-image-1353\" style=\"aspect-ratio:1;object-fit:cover\" srcset=\"https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/Graph-nobkg.png 1528w, https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/Graph-nobkg-288x300.png 288w, https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/Graph-nobkg-768x801.png 768w, https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/Graph-nobkg-982x1024.png 982w, https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/Graph-nobkg-1472x1536.png 1472w\" sizes=\"auto, (max-width: 1528px) 100vw, 1528px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key Insights &amp; The FAIR Paradigm<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">While Raman spectroscopy and chemometrics are advancing rapidly, data fragmentation and proprietary formats still restrict the full potential of AI. The authors emphasize that unlocking AI-driven workflows requires adopting the <strong>FAIR principles<\/strong> (<strong>F<\/strong>indable, <strong>A<\/strong>ccessible, <strong>I<\/strong>nteroperable, <strong>R<\/strong>eusable):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Findable &amp; Accessible:<\/strong> Using persistent identifiers (PIDs) and storing spectral datasets with rich metadata in open-access repositories.<\/li>\n\n\n\n<li><strong>Interoperable &amp; Reusable:<\/strong> Standardizing data structures (e.g., NeXus\/HDF5), implementing ontologies like VIBSO, and sharing open calibration protocols and analysis pipelines.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Adopting these practices ensures high-quality, harmonized training datasets for machine learning models, mitigating issues like dataset shift, overfitting, and publication bias.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><br><strong>Synergy with the TROPHY Project<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This publication aligns closely with the goals of the EU-funded <strong>TROPHY<\/strong> project (<em>ulTRafast hOlograPHic FTIR microscopY<\/em>, EIC Pathfinder, GA 101047137, <a href=\"https:\/\/www.trophy-project.eu\/?utm_source=gemini\" target=\"_blank\" rel=\"noopener\">www.trophy-project.eu<\/a>). By developing novel label-free vibrational imaging techniques, TROPHY strongly relies on standardized data collection, advanced chemometrics, and open practices to ensure seamless data integration and reproducibility across modalities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">N. Coca-Lopez, V. Alcolea-Rodriguez, M. A. Ba\u00f1ares, S. Brockhauser, J. Gorenflot, A. Henderson, R. Hildebrandt, N. Jeliazkova, N. Kochev, E. Lozano Diz, Z. Pilat, D. Polli, P. Str\u00f6mert, C. Sturm, R. Vanna, R. Portela. <em>Artificial Intelligence-Powered Raman Spectroscopy through Open Science and FAIR Principles.<\/em> <strong>ACS Nano<\/strong> 2025, 19, 38189\u201338218.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Read the article:<\/strong> <a href=\"https:\/\/doi.org\/10.1021\/acsnano.5c09165?utm_source=gemini\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1021\/acsnano.5c09165<\/a><\/p>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\"><figure class=\"wp-block-media-text__media\"><a href=\"https:\/\/polimi365-my.sharepoint.com\/:w:\/r\/personal\/10075670_polimi_it\/Documents\/Lab\/Progetti\/TROPHY\/Communication%20and%20Dissemination\/_NEWS%20for%20Trophy%20website\/2026%20News%20-%20subfolders%20inside\/2026%2001%2010%20ACS%20Nano%20Review\/News%20ACS%20Nano.docx?d=w8e2827583f504f2e8dc1622edfe19df6&amp;csf=1&amp;web=1&amp;e=BdeL38&amp;nav=eyJoIjoiMTgyMDYzMTYxNyJ9\" target=\"_blank\" rel=\" noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"520\" height=\"691\" src=\"https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/m_ancac3.2025.19.issue-44.xlargecover.jpeg\" alt=\"\" class=\"wp-image-1350 size-full\" srcset=\"https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/m_ancac3.2025.19.issue-44.xlargecover.jpeg 520w, https:\/\/www.trophy-project.eu\/wp-content\/uploads\/2026\/09\/m_ancac3.2025.19.issue-44.xlargecover-226x300.jpeg 226w\" sizes=\"auto, (max-width: 520px) 100vw, 520px\" \/><\/a><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"wp-block-paragraph\"><strong>Citation:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">N. Coca-Lopez, V. Alcolea-Rodriguez, M. A. Ba\u00f1ares, S. Brockhauser, J. Gorenflot, A. Henderson, R. Hildebrandt, N. Jeliazkova, N. Kochev, E. Lozano Diz, Z. Pilat, D. Polli, P. Str\u00f6mert, C. Sturm, R. Vanna, R. Portela. <em>Artificial Intelligence-Powered Raman Spectroscopy through Open Science and FAIR Principles.<\/em> <strong>ACS Nano<\/strong> 2025, 19, 38189\u201338218.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>A new review and perspective paper titled &#8220;Artificial Intelligence-Powered [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1365,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[22,18,14],"class_list":["post-1347","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-cnr-ifn","tag-imaging","tag-raman-spectroscopy"],"_links":{"self":[{"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/posts\/1347","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1347"}],"version-history":[{"count":8,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/posts\/1347\/revisions"}],"predecessor-version":[{"id":1364,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/posts\/1347\/revisions\/1364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=\/wp\/v2\/media\/1365"}],"wp:attachment":[{"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1347"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1347"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.trophy-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}