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Simultaneous Measurement of Peripheral Ocular Aberrations Using a Virtual Multi-Eccentric Hartmann-Shack Aberrometer
Jennyfer Morales-Marín1, Andrés Osorno-Quiroz2, Walter Torres-Sepúlveda2
1Grupo de Óptica y Fotónica, Instituto de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín 050010, Colombia.
Sensors (Basel, Switzerland)
|July 28, 2026
Summary
A novel virtual multi-eccentric Hartmann-Shack (HS) aberrometer uses a convolutional neural network (CNN) to accurately measure peripheral ocular aberrations, outperforming traditional methods in realistic conditions.
Area of Science:
- Ophthalmology
- Computational optics
- Biomedical engineering
Background:
- Peripheral ocular aberrations impact vision and are implicated in ametropias.
- Accurate measurement of these aberrations is crucial for understanding eye conditions and treatments.
- Current aberrometry methods often focus on central vision or require sequential measurements.
Purpose of the Study:
- To present a computational proof of concept for a virtual multi-eccentric Hartmann-Shack (HS) aberrometer.
- To enable simultaneous measurement of peripheral ocular aberrations.
- To evaluate the performance of traditional and AI-based methods under realistic conditions.
Main Methods:
- A virtual multi-eccentric HS aberrometer simulating nine wavefronts within 20° of the fovea was developed.
- The system was evaluated under ideal and realistic conditions, including speckle and illumination variations.
- Aberrations were quantified using a centroid-based method and a ResNet convolutional neural network (CNN) trained on simulated data.
Main Results:
- Speckle significantly degraded traditional centroid-based aberration reconstructions at eccentric points.
- The CNN, trained with speckled data, demonstrated superior robustness and accuracy across all nine measured wavefronts.
- The virtual model successfully simulated simultaneous acquisition of multiple wavefronts.
Conclusions:
- A CNN-based approach offers a robust and accurate method for measuring peripheral ocular aberrations with HS aberrometry.
- This proof of concept paves the way for a physical multi-eccentric aberrometer, reducing measurement time and motion artifacts.
- The technology has potential applications in evaluating ocular treatments and in longitudinal studies of ametropias.
