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Phys. Eng. Express"],"published-print":{"date-parts":[[2026,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Multispectral imaging (MSI) systems leverage the differing optical absorption properties of oxygenated and deoxygenated haemoglobin across various wavelengths to enable non-invasive dynamic monitoring of relative blood oxygen saturation. Existing systems struggle to meet demands for portable, efficient monitoring due to high costs and slow response times. This study developed a compact MSI system utilising a multi-band light-emitting diode array as its light source. Combined with a triple-isosbestic point calibration algorithm, it rapidly generates pseudo-colour maps of blood oxygen distribution. The system was validated in human finger and rabbit small intestine ischemia\u2013reperfusion models. Following occlusion, relative blood oxygen saturation in the ischaemic regions decreased to 66.3% (finger) and 29.5% (small intestine), both significantly distinct from normal areas. Post-reperfusion, the ischaemic regions exhibited marked recovery with characteristic reperfusion response patterns. These findings demonstrate the system\u2019s capability to accurately identify hypoxemic zones, indicating its potential for dynamic\n                    <jats:italic>in vivo<\/jats:italic>\n                    blood oxygen monitoring applications.\n                  <\/jats:p>","DOI":"10.1088\/2057-1976\/ae5f9c","type":"journal-article","created":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T22:48:33Z","timestamp":1776293313000},"page":"035006","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Non-invasive dynamic blood oxygen monitoring system based on multispectral imaging technology"],"prefix":"10.1088","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1272-950X","authenticated-orcid":true,"given":"JiaXuan","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"XiaoJing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YuShi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"LiBin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"TianCi","family":"Weng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"DanFei","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2026,4,23]]},"reference":[{"key":"bpexae5f9cbib1","doi-asserted-by":"publisher","first-page":"3420","DOI":"10.1364\/BOE.6.003420","type":"journal-article","article-title":"Algorithm for mapping cutaneous tissue oxygen concentration using hyperspectral imaging","volume":"6","author":"Miclos","year":"2015","journal-title":"Biomed. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2025-11-07","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-04-15","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-04-23","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}