27 citations · 84 across the 11 of their papers we have counts for
12 papers
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…
Quantitative analysis of dynamic CT imaging of methane-hydrate formation with a hybrid machine learning approach
Mikhail I. Fokin, Viktor V. Nikitin, Anton A. Duchkov
Fast multi-phase processes in methane hydrate-bearing samples are challenging for micro-CT quantitative study because of complex tomographic data analysis involving time-consuming…
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…
Joint ptycho-tomography with deep generative priors
Selin Aslan, Zhengchun Liu, Viktor Nikitin +3
Joint ptycho-tomography is a powerful computational imaging framework to recover the refractive properties of a 3D object while relaxing the requirements for probe overlap that is…
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…