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Updated: Mar 15, 2026
Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
Published on: March 11, 2016
Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images
Emily Huynh1, Danuta M Bukowska1, Seyhan Yazar1
1University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
Abstract:
Quantification of sun-related changes in conjunctival ultraviolet autofluorescence (CUVAF) images is a subjective and tedious task, in which reproducibility of results is difficult. Thus, we have developed a semiautomatic method in MATLAB(®) to analyze CUVAF images retrospectively. The algorithm was validated on 200 images from 50 randomly selected participants from the Western Australian Pregnancy Cohort (Raine) study 20-year follow-up assessment, in which CUVAF area measurements were available from previous manual analysis. Algorithm performance was compared to manual measurements and yielded better than 95% correspondence in both intra- and interobserver agreement. Furthermore, the semiautomatic method significantly reduced analysis time by 50%.
