Automated qualitative and quantitative assessment of posterior capsule opacification by Automated Quantification of After-Cataract II (AQUA II) system.

Background: The present study aims to investigate an automated qualitative and quantitative assessment system (Automated Quantification of After-Cataract [AQUA II]) of posterior capsule opacification (PCO) in high-resolution digital retroillumination images and consequently reduce observer bias and increase accuracy of PCO grading.

Methods: A data set of 100 eyes with no to severe PCO was analysed. Ten eyes were consecutively photographed twice and ten images were rotated to give a total of 120 images for PCO assessment.

Evidence for cosmetics as a source of mineral oil contamination in women.

Background: There is strong evidence that mineral oil hydrocarbons are the greatest contaminant of the human body, amounting to approximately 1 g per person. Possible routes of contamination include air inhalation, food intake, and dermal absorption. The present study aims to identify the most relevant sources of mineral oil contamination.

Mineral oil paraffins in human body fat and milk.

Paraffins of mineral oil origin (mineral paraffins) were analyzed in tissue fat collected from 144 volunteers with Caesarean sections as well as in milk fat from days 4 and 20 after birth of the same women living in Austria. In the tissue samples, the composition of the mineral paraffins was largely identical and consisted of an unresolved mixture of iso- and cycloalkanes, in gas chromatographic retention times ranging from n-C(17) to n-C(32) and centered at n-C(23)/C(24). Since the mineral oil products we are exposed to range from much smaller to much higher molecular mass and may contain prominent n-alkanes, the contaminants in the tissue fat must be a residue from selective uptake, elimination by evaporation and metabolic degradation.

Comparison of 4 methods for quantifying posterior capsule opacification.

Purpose: To compare the results of posterior capsule opacification (PCO) quantification and the repeatability of a fully automated analysis system (Automated Quantification of After-Cataract [AQUA]) with that of 2 other quantification methods and subjective grading of PCO. A test set of digital retroillumination images of 100 eyes with PCO of varying degrees was used.

Setting: Department of Ophthalmology, University of Vienna, Vienna, Austria.

Removal of reflections in the photographic assessment of PCO by fusion of digital retroillumination images.

Purpose: Automated image-analysis systems for objective assessment of posterior capsule opacification (PCO) depend on good image quality. One major drawback is the existence of light-reflection artifacts (Purkinje spots) in retroillumination images of the posterior capsule. Therefore, a software algorithm was developed that removes these artifacts by fusion of two or more digital images from the same eye, photographed in slightly different directions of gaze.