title: Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation.
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.
authors.affiliation: University of New Mexico, Department of Pathology, 1 University of New Mexico, MSC08 4640, Albuquerque, New Mexico 87131, United States.
authors.forename: Matthew S
authors.initials: MS
authors.lastname: Graus
authors.affiliation: University of New Mexico, Department of Pathology, 1 University of New Mexico, MSC08 4640, Albuquerque, New Mexico 87131, United States.
authors.forename: Aaron K
authors.initials: AK
authors.lastname: Neumann
authors.affiliation: Sandia National Laboratories, Department of Bioenergy and Defense Technologies, P. O. Box 5800, MS 0895, Albuquerque, New Mexico 87185, United States.
authors.forename: Jerilyn A
authors.initials: JA
authors.lastname: Timlin
mesh_terms: D002175:Candida / Q000145:classification*; D008856:Microscopy, Fluorescence / Q000379:methods*; D061848:Optical Imaging / Q000379:methods*; D013045:Species Specificity