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Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning
This study demonstrates the application of convolutional neural networks to characterise the optical aberration by directly predicting the Zernike coefficients from two to three phase-diverse optical images.
Robust Phase Retrieval with Green Noise Binary Masks
Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance.
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