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 ...

X-ray phase-contrast imaging techniques have emerged as a powerful supplement to conventional absorption-based methods, allowing researchers and clinicians to visualise soft tissues and subtle ...