Materials innovation and electrical engineering in X-ray detection
X-ray detection is critical for applications in medical diagnosis, industrial inspection, security
checks, scientific inquiry and space exploration. Recent advances in materials science …
checks, scientific inquiry and space exploration. Recent advances in materials science …
Multi-Scale X-Ray Imaging Technologies for Rechargeable Batteries
Z Xu, H An, J Wang - Chinese Physics Letters, 2024 - iopscience.iop.org
The rapid advancement in electric vehicles and electrochemical energy storage technology
has raised the demands placed on rechargeable batteries. It is essential to comprehend the …
has raised the demands placed on rechargeable batteries. It is essential to comprehend the …
Reconstructing Richtmyer–Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks
We develop an ML-based approach for density reconstruction based on transformer neural
networks. This approach is demonstrated in the setting of ICF-like double shell …
networks. This approach is demonstrated in the setting of ICF-like double shell …
Tensorial tomographic Fourier ptychography with applications to muscle tissue imaging
We report tensorial tomographic Fourier ptychography (T 2 oFu), a nonscanning label-free
tomographic microscopy method for simultaneous imaging of quantitative phase and …
tomographic microscopy method for simultaneous imaging of quantitative phase and …
Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits
Three-dimensional inspection of nanostructures such as integrated circuits is important for
security and reliability assurance. Two scanning operations are required: ptychographic to …
security and reliability assurance. Two scanning operations are required: ptychographic to …
Noise-resilient deep learning for integrated circuit tomography
X-ray tomography is a non-destructive imaging technique that reveals the interior of an
object from its projections at different angles. Under sparse-view and low-photon sampling …
object from its projections at different angles. Under sparse-view and low-photon sampling …
相干衍射成像的数学唯一解问题研究
吴丽青， 昌成成， 陶华， 何小亮， 刘诚… - Chinese Journal of …, 2024 - opticsjournal.net
摘要相干衍射成像(CDI) 作为主流的无透镜计算成像迭代技术, 一直被广泛地应用于生物成像,
波前诊断, 光学元件测量等领域. 基于CDI 和Ptychography 技术, Ptychographic Iterative …
波前诊断, 光学元件测量等领域. 基于CDI 和Ptychography 技术, Ptychographic Iterative …
On the use of deep learning for three-dimensional computational imaging
Deep learning has proven to be an efficient and robust method for many computational
imaging systems. The advantages of machine learning, as a rule, are that it is fast—at least …
imaging systems. The advantages of machine learning, as a rule, are that it is fast—at least …
A reconstruction method for ptychography based on residual dense network
M Liu, Y Han, X Xi, L Li, Z Xu, X Zhang… - Journal of X-Ray …, 2024 - content.iospress.com
BACKGROUND: Coherent diffraction imaging (CDI) is an important lens-free imaging
method. As a variant of CDI, ptychography enables the imaging of objects with arbitrary …
method. As a variant of CDI, ptychography enables the imaging of objects with arbitrary …
Data-Efficient Machine Learning for Computational Imaging
GZ Guo - 2024 - dspace.mit.edu
This thesis presents a method that improves data efficiency in computational imaging by
incorporating prior knowledge from physical models into machine learning algorithms. Our …
incorporating prior knowledge from physical models into machine learning algorithms. Our …