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20182022
most citedUsing Automatic Differentiation as a General Framework for Ptychographic Reconstruction

85 citations · 101 across the 7 of their papers we have counts for

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6 papers · 1 filter

eess.IV2021

End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data

Youssef S. G. Nashed, Frederic Poitevin, Harshit Gupta +4

Cryogenic electron microscopy (cryo-EM) provides images from different copies of the same biomolecule in arbitrary orientations. Here, we present an end-to-end unsupervised approac…

eess.IV2021

A matrix-free Levenberg-Marquardt algorithm for efficient ptychographic phase retrieval

Saugat Kandel, S. Maddali, Youssef S G Nashed +3

The phase retrieval problem, where one aims to recover a complex-valued image from far-field intensity measurements, is a classic problem encountered in a range of imaging applicat…

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

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations

Wenbin He, Junpeng Wang, Hanqi Guo +5

We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ. In situ visualization, gene…

eess.IV2019

Three dimensions, two microscopes, one code: automatic differentiation for x-ray nanotomography beyond the depth of focus limit

Ming Du, Youssef S. G. Nashed, Saugat Kandel +2

Conventional tomographic reconstruction algorithms assume that one has obtained pure projection images, involving no within-specimen diffraction effects nor multiple scattering. Ad…

eess.IV201985 cited

Using Automatic Differentiation as a General Framework for Ptychographic Reconstruction

Saugat Kandel, S. Maddali, Marc Allain +3

Coherent diffraction imaging methods enable imaging beyond lens-imposed resolution limits. In these methods, the object can be recovered by minimizing an error metric that quantifi…