62 citations · 127 across the 8 of their papers we have counts for
8 papers
Full-field fluorescence computed tomography (F3CT) using a calibrated virtual cone-beam pinhole geometry
Thomas Zillhardt, Yunhui Chen, Alexander Rack +4
We present F3CT, a synchrotron-based hyperspectral full-field fluorescence computed tomography technique that avoids raster scanning by combining a pinhole aperture with an energy-…
Digital Fingerprinting of Microstructures
Michael D. White, Alexander Tarakanov, Christopher P. Race +2
Finding efficient means of fingerprinting microstructural information is a critical step towards harnessing data-centric machine learning approaches. A statistical framework is sys…
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Ryan Warr, Evelina Ametova, Robert J. Cernik +6
Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (800 eV), applying it for the first time to map the distrib…
Damage accumulation during high temperature fatigue of Ti/SiC metal matrix composites under different stress amplitudes
Ying Wang, Xu Xu, Wenxia Zhao +10
The damage mechanisms and load redistribution of high strength TC17 titanium alloy/unidirectional SiC fibre composite (fibre diameter = 100 m) under high temperature (350 °C) fa…
Crystalline phase discriminating neutron tomography using advanced reconstruction methods
Evelina Ametova, Genoveva Burca, Suren Chilingaryan +8
Time-of-flight neutron imaging offers complementary attenuation contrast to X-ray computed tomography (CT), coupled with the ability to extract additional information from the vari…
Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography
Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke +7
The newly developed Core Imaging Library (CIL) is a flexible plug and play library for tomographic imaging with a specific focus on iterative reconstruction. CIL provides building…
Core Imaging Library -- Part I: a versatile Python framework for tomographic imaging
Jakob S. Jørgensen, Evelina Ametova, Genoveva Burca +8
We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional…
Direct high-order edge-preserving regularization for tomographic image reconstruction
Daniil Kazantsev, Evgueni Ovtchinnikov, William R. B. Lionheart +2
In this paper we present a new two-level iterative algorithm for tomographic image reconstruction. The algorithm uses a regularization technique, which we call edge-preserving Lapl…