Accelerating ptychographic reconstructions using spectral initializations
Lorenzo Valzania, Jonathan Dong, Sylvain Gigan
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, in order 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.