151 citations · 299 across the 16 of their papers we have counts for
17 papers
Distributed Tomographic Reconstruction with Quantization
Runxuan Miao, Selin Aslan, Erdem Koyuncu +1
Conventional tomographic reconstruction typically depends on centralized servers for both data storage and computation, leading to concerns about memory limitations and data privac…
Single-distance nano-holotomography with coded apertures
Viktor Nikitin, Marcus Carlsson, Rajmund Mokso +2
High-resolution phase-contrast 3D imaging using nano-holotomography typically requires collecting multiple tomograms at varying sample-to-detector distances, usually 3 to 4. This m…
X-ray nano-holotomography reconstruction with simultaneous probe retrieval
Viktor Nikitin, Marcus Carlsson, Doga Gursoy +2
In conventional tomographic reconstruction, the pre-processing step includes flat-field correction, where each sample projection on the detector is divided by a reference image tak…
3D Imaging of Magnetic Domains in Nd2Fe14B using Scanning Hard X-Ray Nanotomography
Srutarshi Banerjee, Doga Gursoy, Junjing Deng +5
Nanoscale structural and electronic heterogeneities are prevalent in condensed matter physics. Investigating these heterogeneities in three dimensions (3D) has become an important…
Dose and compositional dependence of irradiation-induced property change in FeCr
Kay Song, Dina Sheyfer, Kenichiro Mizohata +8
Ferritic/martensitic steels will be used as structural components in next generation nuclear reactors. Their successful operation relies on an understanding of irradiation-induced…
Compressive Ptychography using Deep Image and Generative Priors
Semih Barutcu, Doğa Gürsoy, Aggelos K. Katsaggelos
Ptychography is a well-established coherent diffraction imaging technique that enables non-invasive imaging of samples at a nanometer scale. It has been extensively used in various…
Depth-resolved Laue microdiffraction with coded-apertures
Doga Gursoy, Dina Sheyfer, Michael Wojcik +2
We introduce a rapid data acquisition and reconstruction method to image the crystalline structure of materials and associated strain and orientations at micrometer resolution usin…
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction
Soumendu Majee, Selin Aslan, Doga Gursoy +1
In many computed tomography (CT) imaging applications, it is important to rapidly collect data from an object that is moving or changing with time. Tomographic acquisition is gener…
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data
Xiaodong Yu, Viktor Nikitin, Daniel J. Ching +3
While the advances in synchrotron light sources, together with the development of focusing optics and detectors, allow nanoscale ptychographic imaging of materials and biological s…
Improving reproducibility in synchrotron tomography using implementation-adapted filters
Poulami Somanya Ganguly, Daniël M. Pelt, Doga Gürsoy +2
For reconstructing large tomographic datasets fast, filtered backprojection-type or Fourier-based algorithms are still the method of choice, as they have been for decades. These ro…
Distributed optimization for nonrigid nano-tomography
Viktor Nikitin, Vincent De Andrade, Azat Slyamov +6
Resolution level and reconstruction quality in nano-computed tomography (nano-CT) are in part limited by the stability of microscopes, because the magnitude of mechanical vibration…
Near, far, wherever you are: simulations on the dose efficiency of holographic and ptychographic coherent imaging
Ming Du, Doga Gursoy, Chris Jacobsen
Different studies in x-ray microscopy have arrived at conflicting conclusions about the dose efficiency of imaging modes involving the recording of intensity distributions in the n…
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…
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu +3
Synchrotron-based x-ray tomography is a noninvasive imaging technique that allows for reconstructing the internal structure of materials at high spatial resolutions from tens of mi…
X-ray tomography of extended objects: a comparison of data acquisition approaches
Ming Du, Rafael Vescovi, Kamel Fezzaa +2
The penetration power of x-rays allows one to image large objects. For example, centimeter-sized specimens can be imaged with micron-level resolution using synchrotron sources. In…
Quantifying mesoscale neuroanatomy using X-ray microtomography
Eva L. Dyer, William Gray Roncal, Hugo L. Fernandes +9
Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photo…
From sample to knowledge: Towards an integrated approach for neuroscience discovery
William Gray Roncal, Eva L Dyer, Doga Gürsoy +2
Imaging methods used in modern neuroscience experiments are quickly producing large amounts of data capable of providing increasing amounts of knowledge about neuroanatomy and func…