Paper
17 July 2015 In-vivo high resolution corneal imaging and analysis on animal models for clinical applications
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Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 95241J (2015) https://doi.org/10.1117/12.2189469
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore
Abstract
A simple and low cost optical probe system for the high resolution imaging of the cornea is proposed, based on a Gaussian beam epi-illumination configuration. Corneal topography is obtained by moving the scanning spot across the eye in a raster fashion whereas pachymetry data is achieved by reconstructing the images obtained at different depths. The proposed prototype has been successfully tested on porcine eye samples ex vivo and subsequently on laboratory animals, such as the New Zealand White Rabbit, in vivo. This proposed system and methodology pave the way for realizing a simple and inexpensive optical configuration for pachymetry and keratometry readings, with achievable resolution up to the cellular level. This novel and non-contact high resolution imaging modality demonstrates high intraobserver reproducibility and repeatability. Together with its sophisticated data analysis strategies and safety profile, it is believed to complement existing imaging modalities in the assessment and evaluation of corneal diseases, which enable a decrease in morbidity and improvement in the effectiveness of subsequent treatment.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jesmond Hong, Shinoj V. K., Murukeshan V. M., Baskaran M., and Tin Aung "In-vivo high resolution corneal imaging and analysis on animal models for clinical applications", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95241J (17 July 2015); https://doi.org/10.1117/12.2189469
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KEYWORDS
Eye

Cornea

Image resolution

Imaging systems

In vivo imaging

Raster graphics

Objectives

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