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Journal of Biomedical Optics • Open Access

Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation
Author(s): Matthew S. Graus; Aaron K. Neumann; Jerilyn A. Timlin

Paper Abstract

Fungi in the Candida genus are the most common fungal pathogens. They not only cause high morbidity and mortality but can also cost billions of dollars in healthcare. To alleviate this burden, early and accurate identification of Candida species is necessary. However, standard identification procedures can take days and have a large false negative error. The method described in this study takes advantage of hyperspectral confocal fluorescence microscopy, which enables the capability to quickly and accurately identify and characterize the unique autofluorescence spectra from different Candida species with up to 84% accuracy when grown in conditions that closely mimic physiological conditions.

Paper Details

Date Published: 5 January 2017
PDF: 6 pages
J. Biomed. Opt. 22(1) 016002 doi: 10.1117/1.JBO.22.1.016002
Published in: Journal of Biomedical Optics Volume 22, Issue 1
Show Author Affiliations
Matthew S. Graus, University of New Mexico (United States)
Aaron K. Neumann, University of New Mexico (United States)
Jerilyn A. Timlin, Sandia National Laboratories (United States)

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