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[HTML][HTML] Iterative projection meets sparsity regularization: towards practical single-shot quantitative phase imaging with in-line holography
Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …
[HTML][HTML] Resolution and contrast enhancement for lensless digital holographic microscopy and its application in biomedicine
D Chen, L Wang, X Luo, H **e, X Chen - Photonics, 2022 - mdpi.com
An important imaging technique in biomedicine, the conventional optical microscopy relies
on relatively complicated and bulky lens and alignment mechanics. Based on the Gabor …
on relatively complicated and bulky lens and alignment mechanics. Based on the Gabor …
From Fienup's phase retrieval techniques to regularized inversion for in-line holography: tutorial
This paper includes a tutorial on how to reconstruct in-line holograms using an inverse
problems approach, starting with modeling the observations, selecting regularizations and …
problems approach, starting with modeling the observations, selecting regularizations and …
Machine learning holography for 3D particle field imaging
We propose a new learning-based approach for 3D particle field imaging using holography.
Our approach uses a U-net architecture incorporating residual connections, Swish …
Our approach uses a U-net architecture incorporating residual connections, Swish …
Single-shot high-density volumetric particle imaging enabled by differentiable holography
Y Wu, J Wang, ST Thoroddsen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Digital holography (DH) stands as a robust imaging method extensively utilized for 3-D
imaging. Despite its versatility, when employed in 3-D particle imaging, DH encounters …
imaging. Despite its versatility, when employed in 3-D particle imaging, DH encounters …
Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks
Z Luo, A Yurt, R Stahl, A Lambrechts, V Reumers… - Optics express, 2019 - opg.optica.org
Lens-free holographic microscopy (LFHM) provides a cost-effective tool for large field-of-
view imaging in various biomedical applications. However, due to the unit optical …
view imaging in various biomedical applications. However, due to the unit optical …
Holographic optical field recovery using a regularized untrained deep decoder network
Image reconstruction using minimal measured information has been a long-standing open
problem in many computational imaging approaches, in particular in-line holography. Many …
problem in many computational imaging approaches, in particular in-line holography. Many …
Regularized inverse holographic volume reconstruction for 3D particle tracking
The key limitations of digital inline holography (DIH) for particle tracking applications are
poor longitudinal resolution, particle concentration limits, and case-specific processing. We …
poor longitudinal resolution, particle concentration limits, and case-specific processing. We …
T-matrix methods for electromagnetic structured beams: a commented reference database for the period 2014–2018
G Gouesbet - Journal of Quantitative Spectroscopy and Radiative …, 2019 - Elsevier
T-matrix methods for electromagnetic structured beams mainly encompass Generalized
Lorenz-Mie Theories (GLMTs) which form a set of analytical approaches dealing with the …
Lorenz-Mie Theories (GLMTs) which form a set of analytical approaches dealing with the …
Phase-aberration compensation via deep learning in digital holographic microscopy
S Ma, R Fang, Y Luo, Q Liu, S Wang… - … Science and Technology, 2021 - iopscience.iop.org
Digital holographic microscopy (DHM), a quantitative phase-imaging technology, has been
widely used in various applications. Phase-aberration compensation in off-axis DHM is vital …
widely used in various applications. Phase-aberration compensation in off-axis DHM is vital …