Our aim was to fabricate a bench-top physical model eye that closely replicates anatomical and optical properties of the average human eye, and to calibrate and standardize this model to suit normal viewing conditions and subsequently utilize it to understand the optical performance of corrective lens designs; especially multifocal
soft contact lenses. Using available normative data on ocular biometrics and Zemax ray-tracing software as a tool,
we modeled 25, 45 and 55 year-old average adult human eyes with discrete accommodation levels and pupil sizes.
Specifications for the components were established following manufacturing tolerance analyses. The cornea was
lathed from an optical material with refractive index of 1.376 @ 589 nm and the crystalline lenses were made of
Boston RGP polymers with refractive indices of 1.423 (45 & 55yr) and 1.429 (25yr) @ 589 nm. These two materials
served to model the equivalent crystalline lens of the different age-groups. A camera, the acting retina, was hosted
on the motor-base having translatory and rotary functions to facilitate the simulation of different states of ametropia
and peripheral refraction respectively. We report on the implementation of the first prototype and present some
simulations of the optical performance of certain contact lenses with specific levels of ametropia, to demonstrate the potential use of such a physical model eye. On completion of development, calibration and standardization, optical quality assessment and performance predictions of different ophthalmic lenses can be studied in great detail. Optical performance with corrective lenses may be reliably simulated and predicted by customized combined computational and physical models giving insight into the merits and pitfalls of their designs
We propose a novel theoretical design of gradient index (GRIN) multifocal contact lens (MFCL) to compensate presbyopia and make predictions regarding its performance on a schematic model eye and to compare its performance with conventional aspheric progressive MFCL.
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