Phase retrieval constitutes a pivotal challenge in disciplines ranging from optics and materials science to signal processing, where the objective is to reconstruct a signal’s phase from ...

(a) and (b) Optical microscope images depicting the sample with defects and the defect-free sample. (c) and (d) Experimentally measured optical field distributions for the sample with defects and the ...

Neural phase retrieval (NeuPh) employs a CNN-based encoder to learn measurement-specific information and encode them into a latent-space representation. The MLP decoder reconstructs the phase values ...

Imaging objects that are partially or completely obscured by structures that diffuse the light from those objects, as is the case in many biological systems, is a challenge that engineers have met ...