12th Education and Training in Optics and Photonics Conference 2014
DOI: 10.1117/12.2068368
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A correlation of thin lens approximation to thick lens design by using context based method in optics education

Abstract: The effect of Coddington factors on aberration functions has been analysed using thin lens approximation. Minimizing spherical aberrations of singlet lenses using Coddington factors in lens design depending on lens manufacturing is discussed. Notation of lens test plate pairs used in lens manufacturing is also presented in terms of Coddington shape factors.

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Cited by 2 publications
(2 citation statements)
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References 15 publications
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“…The shape factor of IOLs produces increasingly significant and nonuniform variability in higher IOL powers. 8,9 The Barrett, Okulix, and K6 now account for it in certain lens models either by polynomial regression or by manufacturer data, and AI approaches may indirectly address it. 8 Goto et al proposed the angle-to-angle depth and lens-equator depth in their O formula, currently under development.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The shape factor of IOLs produces increasingly significant and nonuniform variability in higher IOL powers. 8,9 The Barrett, Okulix, and K6 now account for it in certain lens models either by polynomial regression or by manufacturer data, and AI approaches may indirectly address it. 8 Goto et al proposed the angle-to-angle depth and lens-equator depth in their O formula, currently under development.…”
Section: Discussionmentioning
confidence: 99%
“…6,7 The shape factor of IOLs is an increasingly significant and nonuniform source of error at higher IOL powers. 8,9 While the regression-based Wang-Koch and Holladay adjustments have proven effective in offsetting prediction errors (PEs) for long eyes, no such solution exists in short eyes. 2 Recent efforts have instead focused on the refinement of axial length (AL) measurement.…”
mentioning
confidence: 99%