PPN, a dual-branch network with Polar Coordinate Attention, outperforms existing end-to-end models for ptychographic phase retrieval and stays accurate at low overlap ratios when test samples resemble training data.
Characterising live cell behaviour: Traditional label-free and quantitative phase imaging ap- proaches,
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A Physics-Inspired Deep Learning Framework with Polar Coordinate Attention for Ptychographic Imaging
PPN, a dual-branch network with Polar Coordinate Attention, outperforms existing end-to-end models for ptychographic phase retrieval and stays accurate at low overlap ratios when test samples resemble training data.