Open Access
5 January 2017 Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation
Matthew S. Graus, Aaron K. Neumann, Jerilyn A. Timlin
Author Affiliations +
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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Matthew S. Graus, Aaron K. Neumann, and Jerilyn A. Timlin "Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation," Journal of Biomedical Optics 22(1), 016002 (5 January 2017). https://doi.org/10.1117/1.JBO.22.1.016002
Received: 23 May 2016; Accepted: 12 December 2016; Published: 5 January 2017
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CITATIONS
Cited by 19 scholarly publications and 4 patents.
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KEYWORDS
Luminescence

Diagnostics

Microscopy

Pathogens

Fluorescence spectroscopy

Confocal microscopy

Blood

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