Adaptive Optics Eye Model for Lens Simulation
Solution Overview
Problem
Clinical studies of ophthalmic lenses are expensive and time-consuming, and existing methods for calculating visual performance using computer simulations are not sufficiently versatile or accurate for predicting the clinical visual performance of lens designs.
Innovation Solution
The use of an optical bench with adaptive optics to simulate the behavior of human eyes, including clinically measured optical aberrations, to predict the visual performance of ophthalmic optical corrections by generating retinal images and evaluating image quality metrics, thereby simulating the performance of contact lens designs across a population before actual clinical trials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If clinical studies are conducted to evaluate ophthalmic lens performance, then accurate visual performance data is obtained, but the process becomes expensive and time-consuming
Solution Approach 1:
The patent performs preliminary computational modeling and simulation of visual performance before conducting actual clinical studies. By pre-calculating expected visual outcomes based on lens design parameters and population eye models, the system identifies promising lens designs early, allowing clinical studies to focus only on selected candidates rather than testing all designs empirically.
Solution Approach 2:
The patent creates computational copies of human eyes with measured optical aberrations from population studies. These digital eye models replicate the optical properties of real eyes, allowing virtual testing of lens designs. The system uses measured aberration data from actual patients to build accurate digital twins that can be used for prediction without requiring physical clinical trials for every design variant.
2Adaptability or versatility
If more lens designs are evaluated in early development stages, then better lens selection is achieved, but existing computer simulation methods lack sufficient versatility and accuracy
Solution Approach 1:
The patent applies local quality by incorporating individually measured optical aberrations from different population groups into the simulation models. Instead of using a single average eye model, the system creates multiple eye models with specific local characteristics (different aberration patterns, pupil sizes, and optical properties) to evaluate how lens designs perform across diverse patient populations. This allows accurate prediction for specific patient subsets while maintaining versatility across design types.
Solution Approach 2:
The patent introduces dynamics by making the simulation system adaptable to different lens designs, viewing distances, and pupil conditions. The computational model can dynamically adjust parameters such as object distance, pupil size, and aberration profiles to evaluate lens performance under various real-world conditions. This dynamic capability allows the same base system to assess diverse lens designs without requiring separate physical studies for each scenario.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for a more accurate and cost-effective prediction of clinical visual performance, enabling the assessment of multiple lens designs in the early stages of development and increasing the likelihood of successful clinical outcomes by simulating various scenarios, including different pupil sizes and aberrations.
Implementation Method 1
an optical bench with adaptive optics to aid in the predictive analysis
Implementation Method 2
including the clinically measured optical aberrations
Implementation Method 3
use of an optical system simulating behavior of human eye to generate retinal images
Data Source
AI summary
A method of predicting clinical performance of an ophthalmic optical correction using simulation by imaging a series of objects of different sizes by each of a plurality of eye optical systems, each of the eye optical systems including the ophthalmic optical correction, the method providing an output value representing the resolution and contrast performance of the optical design at that vergence for the eye optical systems.