Adaptive in-focus particle detection and segmentation in holographic 3D image with mechanism-guided machine learning
H Zhang, B Wang, L Zhang, Y Zhao, Y Wang… - Optics and Lasers in …, 2024 - Elsevier
In the domain of three-dimensional (3D) particle holography, diverse imaging characteristics
across particles of varying scales and positions pose a notable impediment to efficient …
across particles of varying scales and positions pose a notable impediment to efficient …
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 …
Data interpolation and characteristic identification for particle segregation behavior and CNN-based dynamics correlation modeling
W Wang, Y Wang, S Yang, J Qiao, J Yang… - Advanced Powder …, 2025 - Elsevier
Particle segregation behavior in a binary granular bed subject to vibration has been
investigated. An algorithm based on Locally Weighted Scatterplot Smoothing (LoWeSS) was …
investigated. An algorithm based on Locally Weighted Scatterplot Smoothing (LoWeSS) was …
Holographic image denoising for dense droplet<? pag\break?> field using conditional diffusion model
H Zhang, Y Wang, Y Wu, L Zhang, B Wang, Y Zhao… - Optics Letters, 2024 - opg.optica.org
The Letter delves into an approach to holographic image denoising, drawing inspiration
from the generative paradigm. It introduces a conditional diffusion model framework that …
from the generative paradigm. It introduces a conditional diffusion model framework that …