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Modeling eye optics shows optimal lens power for myopia correction based on axial length, implying effective refraction strategies.
This study models the human eye using the Gullstrand–Emsley schematic eye and ABCD ray transfer matrices to identify the prescription power that minimises retinal blur as a function of axial length. A cascade of 10 optical elements was constructed and a single paraxial ray was traced through it. Axial lengths from 22 mm to 30 mm and corrective lens powers from −14 D to +2 D were simulated using Python. The data demonstrated a strong negative linear correlation between axial length and optimal corrective lens power (R² = 0.9999). Optimal correction reduced retinal blur to approximately 0 mm, demonstrating that ABCD matrices can simulate refractive correction in myopic eyes and provide a transparent illustration of axial-length-based refraction.
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Akshara Agrawal (2026) studied this question.
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