  Optical phase contains key information for biomedical and astronomical
imaging. However, it is often obscured by layers of heterogeneous and
scattering media, which render optical phase imaging at different depths an
utmost challenge. Limited by the memory effect, current methods for phase
imaging in strong scattering media are inapplicable to retrieving phases at
different depths. To address this challenge, we developed a speckle
three-dimensional reconstruction network (STRN) to recognize phase objects
behind scattering media, which circumvents the limitations of memory effect.
From the single-shot, reference-free and scanning-free speckle pattern input,
STRN distinguishes depth-resolving quantitative phase information with high
fidelity. Our results promise broad applications in biomedical tomography and
endoscopy.
