| Téléchargement | - Voir le manuscrit accepté : Differentiating atherosclerotic plaque burden in arterial tissues using femtosecond CARS-based multimodal nonlinear optical imaging (PDF, 2.1 Mio)
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| DOI | Trouver le DOI : https://doi.org/10.1364/BOE.1.000059 |
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| Auteur | Rechercher : Mostaço-Guidolin, Leila B.1; Rechercher : Sowa, Michael G.1; Rechercher : Ridsdale, Andrew2; Rechercher : Pegoraro, Adrian F.2; Rechercher : Smith, Michael S. D.1; Rechercher : Hewko, Mark D.1; Rechercher : Kohlenberg, Elicia K.1; Rechercher : Schattka, Bernie1; Rechercher : Shiomi, Masashi; Rechercher : Stolow, Albert2; Rechercher : Ko, Alex C.-T.1 |
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| Affiliation | - Conseil national de recherches du Canada. Institut du biodiagnostic du CNRC
- Conseil national de recherches du Canada. Institut Steacie des sciences moléculaires du CNRC
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| Format | Texte, Article |
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| Sujet | Medical&biological imaging; Optical diagnostics for medicine; Nonlinear microscopy; Spectroscopy, coherent anti-Stokes Raman scattering |
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| Résumé | A femtosecond CARS-based nonlinear optical microscope was used to simultaneously image extracellular structural proteins and lipid-rich structures within intact aortic tissue obtained from myocardial infarction-prone Watanabe heritable hyperlipidemic rabbits (WHHLMI). Clear differences in the NLO microscopic images were observed between healthy arterial tissue and regions dominated by atherosclerotic lesions. In the current ex-vivo study, we present a single parameter based on intensity changes derived from multi-channel NLO image to classify plaque burden within the vessel. Using this parameter we were able to differentiate between healthy regions of the vessel and regions with plaque, as well as distinguish plaques relative to the age of the WHHLMI rabbit. |
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| Date de publication | 2010-08-01 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 17620247 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | f0c490e2-4101-4443-a69d-f24b6decae31 |
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| Enregistrement créé | 2011-04-03 |
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| Enregistrement modifié | 2020-04-17 |
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