activity
20182020
most citedReal-time sparse-sampled Ptychographic imaging through deep neural networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.DC2020

Sparse Matrix-Based HPC Tomography

Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque +2

Tomographic imaging has benefited from advances in X-ray sources, detectors and optics to enable novel observations in science, engineering and medicine. These advances have come w…

eess.IV20201 cited

Real-time sparse-sampled Ptychographic imaging through deep neural networks

Mathew J. Cherukara, Tao Zhou, Youssef Nashed +4

Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving…

eess.IV2019

Iterative X-ray Spectroscopic Ptychography

Huibin Chang, Ziqin Rong, Pablo Enfedaque +1

Spectroscopic ptychography is a powerful technique to determine the chemical composition of a sample with high spatial resolution. In spectro-ptychography, a sample is rastered thr…

eess.IV2019

Iterative Joint Ptychography-Tomography with Total Variation Regularization

Huibin Chang, Pablo Enfedaque, Stefano Marchesini

In order to determine the 3D structure of a thick sample, researchers have recently combined ptychography (for high resolution) and tomography (for 3D imaging) in a single experime…

eess.IV2018

Advanced Denoising for X-ray Ptychography

Huibin Chang, Pablo Enfedaque, Jie Zhang +7

The success of ptychographic imaging experiments strongly depends on achieving high signal-to-noise ratio. This is particularly important in nanoscale imaging experiments when diff…

math.OC2018

Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers

Huibin Chang, Pable Enfedaque, Stefano Marchesini

Ptychography has risen as a reference X-ray imaging technique: it achieves resolutions of one billionth of a meter, macroscopic field of view, or the capability to retrieve chemica…