On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
Fourier ptychographic microscopy image stack reconstruction using implicit neural representations
Image stacks provide invaluable 3D information in various biological and pathological
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
Motion-resolved, reference-free holographic imaging via spatiotemporally regularized inversion
Holography is a powerful technique that records the amplitude and phase of an optical field
simultaneously, enabling a variety of applications such as label-free biomedical analysis …
simultaneously, enabling a variety of applications such as label-free biomedical analysis …
FPM-INR: Fourier ptychographic microscopy image stack reconstruction using implicit neural representations
Image stacks provide invaluable 3D information in various biological and pathological
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
Dynamic multiplexed intensity diffraction tomography using a spatiotemporal regularization-driven disorder-invariant multilayer perceptron
H Luo, H Chen, J Xu, M Wan, L Zhong, X Lu, J Tian - Optics Express, 2024 - opg.optica.org
Multiplexed intensity diffraction tomography (mIDT) is a technique that reconstructs the three-
dimensional refractive index (3DRI) of a sample solely through intensity measurements …
dimensional refractive index (3DRI) of a sample solely through intensity measurements …
ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations
tmospheric turbulence presents a significant challenge in long-range imaging. Current
restoration algorithms often struggle with temporal inconsistency, as well as limited …
restoration algorithms often struggle with temporal inconsistency, as well as limited …
[PDF][PDF] Special Section Guest Editorial: Photonics and AI—a symphony of light and intelligence
Artificial intelligence (AI), characterized by its capability in learning, comprehension, and
problem solving, has emerged as a driving force in numerous fields, including photonics …
problem solving, has emerged as a driving force in numerous fields, including photonics …
Perturbative Fourier Ptychographic Microscopy for Fast Quantitative Phase Imaging
Quantitative phase imaging is a method of choice to observe structure and dynamics of
unlabelled biological cells. Fourier ptychographic microscopy (FPM) reconstructs high …
unlabelled biological cells. Fourier ptychographic microscopy (FPM) reconstructs high …
Advancing optical metrology through computational imaging techniques
H Wang - 2025 - search.proquest.com
Optical metrology, which uses light to precisely measure and characterize objects, is
essential in industrial manufacturing, scientific research, and engineering design …
essential in industrial manufacturing, scientific research, and engineering design …
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
Atmospheric turbulence, caused by random fluctuations in the atmosphere's refractive index,
introduces complex spatio-temporal distortions in imagery captured at long range. Video …
introduces complex spatio-temporal distortions in imagery captured at long range. Video …