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dc.contributor.authorMieites Alonso, Verónica
dc.contributor.authorAnichini, Giulio
dc.contributor.authorQi, Ji
dc.contributor.authorO'Neill, Kevin
dc.contributor.authorConde Portilla, Olga María 
dc.contributor.authorElson, Daniel
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-05-14T11:06:25Z
dc.date.available2025-05-14T11:06:25Z
dc.date.issued2024-06-18
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.otherTED2021-130378B-C21es_ES
dc.identifier.otherPID2022-137269OB-C22es_ES
dc.identifier.urihttps://hdl.handle.net/10902/36376
dc.description.abstractIn this study, we applied Multispectral Mueller Matrix Imaging (MMI) at six distinct wavelengths in the visible range to analyze brain structures using lamb cerebral samples. The imaging of several brain sections revealed that white matter (WM) exhibits pronounced depolarization and retardance when contrasted with grey matter (GM), a phenomenon likely attributed to the elevated scattering and anisotropic nature of WM. More precisely, with an increase in wavelength, both depolarization and retardance also increase, suggesting additional penetration into deeper tissue layers. Employing various wavelengths enabled us to trace the shifts in the optical axis of retardance within the brain tissue, offering insights into the morphological changes in WM and GM below the cortical surface. The consistency observed in our results highlights the promise of Multispectral Wide-Field MMI as a non-intrusive, efficacious modality for probing brain architecture.es_ES
dc.description.sponsorshipVarious institutions supported this article. This paper is independent research funded by the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC), the Cancer Research UK (CRUK) Convergence Science Centre and the Wellcome Trust MedTechOne. Additional support came from the grant PREVAL 21/07 (FUSIOMUSCLE) funded by IDIVAL, as well as projects DTS22-00127 (hyPERfusioCAM), funded by Instituto de Salud Carlos III (ISCIII), TED2021-130378B-C21 (PALACE) funded by MCIN/AEI/10.13039/501100011033/European Union NextGenerationEU/PRTR; PID2022-137269OB-C22 (PERFORMANCE), and funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. The authors also acknowledge the Zhejiang Provincial Natural Science Foundation of China under Grant No. LR23F050001. Mr. Giulio Anichini was financially supported by Brain Tumour Research (BTR), George Pickard's Research Fellowship, and Brain Tumour Research Campaign (BTRC). Mr. Kevin O'Neill was financially supported by Brain Tumour Research (BTR) and Brain Tumour Research Campaign (BTRC).es_ES
dc.format.extent5 p.es_ES
dc.language.isoenges_ES
dc.publisherSPIE Society of Photo-Optical Instrumentation Engineerses_ES
dc.rights© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.es_ES
dc.sourceProceedings of SPIE, 2024, 13010, 130100Ges_ES
dc.sourceTissue Optics and Photonics III, Strasbourg, France, 2024es_ES
dc.subject.otherMueller matrix imaginges_ES
dc.subject.otherMultispectral imaginges_ES
dc.subject.otherWhite matter tractses_ES
dc.subject.otherGrey matteres_ES
dc.subject.otherBraines_ES
dc.subject.otherWide-fieldes_ES
dc.subject.otherPolarization propertieses_ES
dc.titleMultispectral Muller matrix imaging: a potential tool to visualize white matter tractses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttps://doi.org/10.1117/12.3017499es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137269OB-C22/ES/SENSORES FOTONICOS PARA CIUDADES INTELIGENTES Y SOSTENIBLES II/es_ES
dc.identifier.DOI10.1117/12.3017499
dc.type.versionpublishedVersiones_ES


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