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An easy and inexpensive method for quantitative analysis of endothelial damage by using vital dye staining and Adobe Photoshop software.

Authors :
Saad HA
Terry MA
Shamie N
Chen ES
Friend DF
Holiman JD
Stoeger C
Source :
Cornea [Cornea] 2008 Aug; Vol. 27 (7), pp. 818-24.
Publication Year :
2008

Abstract

Purpose: We developed a simple, practical, and inexpensive technique to analyze areas of endothelial cell loss and/or damage over the entire corneal area after vital dye staining by using a readily available, off-the-shelf, consumer software program, Adobe Photoshop. The purpose of this article is to convey a method of quantifying areas of cell loss and/or damage.<br />Methods: Descemet-stripping automated endothelial keratoplasty corneal transplant surgery was performed by using 5 precut corneas on a human cadaver eye. Corneas were removed and stained with trypan blue and alizarin red S and subsequently photographed. Quantitative assessment of endothelial damage was performed by using Adobe Photoshop 7.0 software.<br />Results: The average difference for cell area damage for analyses performed by 1 observer twice was 1.41%. For analyses performed by 2 observers, the average difference was 1.71%. Three masked observers were 100% successful in matching the randomized stained corneas to their randomized processed Adobe images.<br />Conclusions: Vital dye staining of corneal endothelial cells can be combined with Adobe Photoshop software to yield a quantitative assessment of areas of acute endothelial cell loss and/or damage. This described technique holds promise for a more consistent and accurate method to evaluate the surgical trauma to the endothelial cell layer in laboratory models. This method of quantitative analysis can probably be generalized to any area of research that involves areas that are differentiated by color or contrast.

Details

Language :
English
ISSN :
1536-4798
Volume :
27
Issue :
7
Database :
MEDLINE
Journal :
Cornea
Publication Type :
Academic Journal
Accession number :
18650669
Full Text :
https://doi.org/10.1097/ICO.0b013e3181705ca2