skip to main content


Title: Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation

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.
 [1] ;  [1] ;  [2]
  1. Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Pathology
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Dept. of Bioenergy and Defense Technologies
Publication Date:
Report Number(s):
Journal ID: ISSN 1083-3668; 640595
Grant/Contract Number:
AC04-94AL85000; AI007538; P50GM085273; R01AI116894; 1-DP2-OD006673-01
Accepted Manuscript
Journal Name:
Journal of Biomedical Optics
Additional Journal Information:
Journal Volume: 22; Journal Issue: 1; Journal ID: ISSN 1083-3668
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Univ. of New Mexico, Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA); National Inst. of Health (NIH) (United States)
Country of Publication:
United States
59 BASIC BIOLOGICAL SCIENCES; Candida albicans; Candida glabrata; Candida parapsilosis; autofluorescence; spectral analysis
OSTI Identifier: