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Digital analysis of the trabecular pigmentation using Positive Pixel Count algorithm
Author(s) -
PETROSKA D,
PAJAUJIS M,
LEVINAITE G,
RIAUKA R,
ASOKLIS R
Publication year - 2011
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.2011.235.x
Subject(s) - glaucoma , statistic , pixel , ophthalmology , medicine , algorithm , mathematics , computer science , statistics , artificial intelligence
Purpose To analyze the trabecular pigmentation after sinustrabeculectomy using semi thin slices with optical microscopy and morphometrically and compare with clinical data. Methods 10 glaucoma patients (10 eyes), 6 males and 4 females, underwent conventional sinustrabeculectomy. The trabecular specimens were prepared as semi thin slices (stained with Toluidin Blue) and analyzed using optical microscopy. The semi thin virtual slides were made by ScanScope and analyzed with Aperio Positive Pixel Count algorithm. The demographic, clinical and morphometrical data were analyzed using SAS Enterprise Guide 4.2 statistic software. Results Correlation analysis of quantitative morphometric and clinical variables were not statistically significant: the probability coefficient between number of positive pigment pixels and pachymetry, highest IOP and glaucoma duration was higher than 0.05. Conclusion 1. There was no statistic significance between morphometric and clinical variables. 2. Further studies of the trabecular tissue, using larger cohort are required.