2 citations · 4 across the 7 of their papers we have counts for
8 papers
Contrast-invariant deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +6
Ptychography neural networks suffer from scaling inconsistencies when generalizing out of distribution, limiting their real world viability. We address this scaling mismatch using…
Pty-Chi: A PyTorch-based modern ptychographic data analysis package
Ming Du, Hanna Ruth, Steven Henke +11
Ptychography has become an indispensable tool for high-resolution, non-destructive imaging using coherent light sources. The processing of ptychographic data critically depends on…
Fidelity-preserving enhancement of ptychography with foundational text-to-image models
Ming Du, Volker Rose, Junjing Deng +3
Ptychographic phase retrieval enables high-resolution imaging of complex samples but often suffers from artifacts such as grid pathology and multislice crosstalk, which degrade rec…
Towards generalizable deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +8
X-ray ptychography is a data-intensive imaging technique expected to become ubiquitous at next-generation light sources delivering many-fold increases in coherent flux. The need fo…
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance
Refik Mert Cam, Junjing Deng, Rajkumar Kettimuthu +2
Ptychography is a data-intensive computational imaging technique that achieves high spatial resolution over large fields of view. The technique involves scanning a coherent beam ac…
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
Canberk Ekmekci, Tekin Bicer, Zichao Wendy Di +2
Ptychography is a scanning coherent diffractive imaging technique that enables imaging nanometer-scale features in extended samples. One main challenge is that widely used iterativ…
Predicting ptychography probe positions using single-shot phase retrieval neural network
Ming Du, Tao Zhou, Junjing Deng +3
Ptychography is a powerful imaging technique that is used in a variety of fields, including materials science, biology, and nanotechnology. However, the accuracy of the reconstruct…
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Xin Liang, Kai Zhao, Sheng Di +9
Today's scientific simulations require a significant reduction of data volume because of extremely large amounts of data they produce and the limited I/O bandwidth and storage spac…