Line-field optical coherence tomography (LC-OCT) for ex-vivo human tongue mucosa analysis

Line-field optical coherence tomography (LC-OCT) for ex-vivo human tongue mucosa analysis | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 25 November 2025 V1 Latest version Share on Line-field optical coherence tomography (LC-OCT) for ex-vivo human tongue mucosa analysis Authors : Yann Lelonge 0000-0001-6325-2190 [email protected] , Julie Chauvel Picard , Asimakis Asimakopoulos , Florian Camy , Jonas Ogien , Stéphane Avril , and Jean Juc Perrot Authors Info & Affiliations https://doi.org/10.22541/au.176405778.85125146/v1 226 views 100 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Line-field confocal optical coherence tomography (LC-OCT) provides micrometer-scale isotropic resolution by combining the depth penetration of OCT with the cellular detail of reflectance confocal microscopy. This study assesses the ability of LC-OCT to visualize the microarchitecture of healthy human lingual mucosa. Ex vivo surgical specimens and cadaveric samples were imaged in vertical and en face modes and compared with hematoxylin–eosin histology. LC-OCT reliably reproduced epithelial organization, revealing superficial, intermediate, and basal layers with characteristic optical patterns, as well as a sharply defined basement membrane. Collagen bundles, vascular structures, and stromal organization within the lamina propria were consistently identifiable. Quantitative measurements demonstrated significantly greater epithelial thickness in the dorsal tongue compared with the base of tongue, with excellent inter-observer reproducibility. LC-OCT achieved near-histological fidelity and enabled real-time, non-destructive tissue assessment. These findings support LC-OCT as a promising biophotonic tool for optical biopsy, surgical margin evaluation, and future AI-assisted mucosal diagnostics. Supplementary Material File (manuscriptversion3.docx) Download 4.24 MB File (research highlights.docx) Download 12.00 KB Information & Authors Information Version history V1 Version 1 25 November 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cadaver lc-oct mouth mucosa optical coherence tomography tongue Authors Affiliations Yann Lelonge 0000-0001-6325-2190 [email protected] Centre Hospitalier Universitaire de Saint-Etienne View all articles by this author Julie Chauvel Picard Centre Hospitalier Universitaire de Saint-Etienne View all articles by this author Asimakis Asimakopoulos Centre Hospitalier Universitaire de Saint-Etienne View all articles by this author Florian Camy Centre Hospitalier Universitaire de Saint-Etienne View all articles by this author Jonas Ogien DAMAE Medical View all articles by this author Stéphane Avril SAnte INgenierie BIOlogie St-Etienne View all articles by this author Jean Juc Perrot Centre Hospitalier Universitaire de Saint-Etienne View all articles by this author Metrics & Citations Metrics Article Usage 226 views 100 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yann Lelonge, Julie Chauvel Picard, Asimakis Asimakopoulos, et al. Line-field optical coherence tomography (LC-OCT) for ex-vivo human tongue mucosa analysis. Authorea . 25 November 2025. DOI: https://doi.org/10.22541/au.176405778.85125146/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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