Enforcing monotonic temporal evolution in dry eye images.

We address the problem of identifying dry areas in the tear film as part of a diagnostic tool for dry-eye syndrome. The requirement is to identify and measure the growth of the dry regions to provide a time-evolving map of degrees of dryness. We segment dry regions using a multi-label graph-cut algorithm on the 3D spatio-temporal volume of frames from a video sequence.

Automatic dry eye detection.

Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We have developed a new method for the automated detection of dry areas in videos taken after instilling fluorescein in the tear film.

The lipid layer and stability of the preocular tear film in newborns and infants.

Purpose: To measure the thickness of the precorneal lipid layer and the stability of the precorneal tear film in neonates and infants in the first 6 postnatal months.

Design: Prospective, observational case series.

Participants: One hundred ninety-eight neonates and infants in the newborn nursery.