Differentiating atherosclerotic plaque burden in arterial tissues using femtosecond CARS-based multimodal nonlinear optical imaging
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 mi...
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Veröffentlicht in: | Biomedical optics express 2010-08, Vol.1 (1), p.59-73 |
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creator | Mostaço-Guidolin, Leila B Sowa, Michael G Ridsdale, Andrew Pegoraro, Adrian F Smith, Michael S D Hewko, Mark D Kohlenberg, Elicia K Schattka, Bernie Shiomi, Masashi Stolow, Albert Ko, Alex C-T |
description | 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. |
doi_str_mv | 10.1364/boe.1.000059 |
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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. 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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.</abstract><cop>United States</cop><pub>Optical Society of America</pub><pmid>21258446</pmid><doi>10.1364/boe.1.000059</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Diagnostic Applications |
title | Differentiating atherosclerotic plaque burden in arterial tissues using femtosecond CARS-based multimodal nonlinear optical imaging |
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