Paper
26 July 2011 Objective categorization of interferential tear film lipid layer pattern: validation of the technique
C. García-Resúa, M. J. Giráldez, N. Barreira, M. G. Penedo, E. Yebra-Pimentel
Author Affiliations +
Proceedings Volume 8001, International Conference on Applications of Optics and Photonics; 80010D (2011) https://doi.org/10.1117/12.892068
Event: International Conference on Applications of Optics and Photonics, 2011, Braga, Portugal
Abstract
Purpose: The lipid layer of the tear film limits evaporation during the inter-blink interval and also affects tear stability. This study was designed to validate a new software application designed to characterize the tear film lipid layer through texture and colour pattern recognition. Methods: Using the Tearscope-plus (slit lamp magnification 200X), the lipid layer was examined in 105 healthy young adults and interference photographs acquired with a Topcon DV-3 digital camera. The photographs were classified by the new software and by 2 further observers (observer 1 and observer 2) with experience in examining the eye surface. Results: Strong correlation was detected between the categories determined by the new application, observer 1 and observer 2 (Cramer's V, from 0.81 to 0.87, p<0.001). Best agreement (96.2%) was noted between the new method and observers 1 and 2 for recognizing meshwork patterns, whereas observers 1 and 2 showed greatest correspondence when classifying colour fringe patterns. Conclusions: The new application can objectively categorize LLPs using the Tearscope-plus.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. García-Resúa, M. J. Giráldez, N. Barreira, M. G. Penedo, and E. Yebra-Pimentel "Objective categorization of interferential tear film lipid layer pattern: validation of the technique", Proc. SPIE 8001, International Conference on Applications of Optics and Photonics, 80010D (26 July 2011); https://doi.org/10.1117/12.892068
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KEYWORDS
Eye

Image classification

Fringe analysis

Cameras

Digital cameras

Lamps

Pattern recognition

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