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Hyperspectral imaging fluorescence excitation scanning spectral characteristics of remodeled mouse arteries
Author(s): Joshua Deal; Stuart J. McFarland; Anna Robinson; Anna Alford; David Weber; Thomas C. Rich; Silas J. Leavesley
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Paper Abstract

Coronary artery disease (CAD), or atherosclerosis, is responsible for nearly a third of all American deaths annually. Detection of plaques and differentiation of plaque stage remains a complicating factor for treatment. Classification of plaque before significant blockage or rupture could inform clinical decisions and prevent mortality. Current detection methods are either nonspecific, slow, or require the use of potentially harmful contrast agents. Recent advances in hyperspectral imaging could be used to detect changes in the autofluorescence of arteries associated with vessel remodeling and subsequent plaque formation and could detect and classify existing lesions. Here, we present data comparing spectral image characteristics of a mouse model designed to undergo vessel remodeling.

C57Bl/6 mice underwent ligation of three of four caudal branches of the left common carotid artery (left external carotid, internal carotid, and occipital artery) with the superior thyroid artery left intact under IACUC approved protocol. Vessels were harvested at a variety of timepoints to compare degrees of remodeling, including 4 weeks and 5 months post-surgery. Immediately following harvest, vessels were prepared by longitudinal opening to expose the luminal surface to a 20X objective. A custom inverted microscope (TE-2000, Nikon Instruments) with a Xe arc lamp and thin film tunable filter arrary (Versachrome, Semrock, Inc.) were used to achieve spectral imaging. Excitation scans utilized wavelengths between 340 nm and 550 nm in 5 nm increments. Hyperspectral data were generated and analyzed with custom Matlab scripts and visualized in ENVI. Preliminary data suggest consistent spectral features associated with control and remodeled vessels.

Paper Details

Date Published: 4 March 2019
PDF: 10 pages
Proc. SPIE 10890, Label-free Biomedical Imaging and Sensing (LBIS) 2019, 108902M (4 March 2019); doi: 10.1117/12.2510770
Show Author Affiliations
Joshua Deal, Univ. of South Alabama (United States)
Stuart J. McFarland, College of Medicine, Univ. of South Alabama (United States)
Anna Robinson, College of Medicine, Univ. of South Alabama (United States)
Anna Alford, Furman Univ. (United States)
David Weber, Univ. of South Alabama (United States)
Thomas C. Rich, Univ. of South Alabama (United States)
Silas J. Leavesley, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 10890:
Label-free Biomedical Imaging and Sensing (LBIS) 2019
Natan T. Shaked; Oliver Hayden, Editor(s)

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