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Accelerating ptychographic reconstructions using spectral initializations

Lorenzo Valzania, Jonathan Dong, and Sylvain Gigan

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Abstract

Ptychography is a promising phase retrieval technique for label-free quantitative phase imaging. Recent advances in phase retrieval algorithms witnessed the development of spectral methods to accelerate gradient descent algorithms. Using spectral initializations on experimental data, for the first time, we report three times faster ptychographic reconstructions than with a standard gradient descent algorithm and improved resilience to noise. Coming at no additional computational cost compared to gradient-descent-based algorithms, spectral methods have the potential to be implemented in large-scale iterative ptychographic algorithms.

© 2021 Optical Society of America

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Supplementary Material (2)

NameDescription
Code 1       Code to implement ptychographic reconstructions by gradient descent with a spectral initialization.
Supplement 1       Implementation details on the reconstruction algorithms described in the main document.

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