K
Kees Joost Batenburg
Researcher at Centrum Wiskunde & Informatica
Publications - 167
Citations - 4291
Kees Joost Batenburg is an academic researcher from Centrum Wiskunde & Informatica. The author has contributed to research in topics: Discrete tomography & Iterative reconstruction. The author has an hindex of 31, co-authored 148 publications receiving 3664 citations. Previous affiliations of Kees Joost Batenburg include University of Antwerp & Leiden University.
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Journal ArticleDOI
Three-dimensional atomic imaging of crystalline nanoparticles
Sandra Van Aert,Kees Joost Batenburg,Kees Joost Batenburg,Marta D. Rossell,Rolf Erni,Gustaaf Van Tendeloo +5 more
TL;DR: 3D reconstruction of a complex crystalline nanoparticle at atomic resolution is reported, which helps close the gap between the atomic resolution achievable in two-dimensional electron micrographs and the coarser resolution that has hitherto been obtained by conventional electron tomography.
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Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)
TL;DR: It is demonstrated that by making alternative design decisions in the GPU implementation, an additional speedup can be obtained, again of an order of magnitude, by carefully considering memory access locality when dividing the workload among blocks of threads, the GPU's cache is used more efficiently, making more effective use of the available memory bandwidth.
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DART: A Practical Reconstruction Algorithm for Discrete Tomography
Kees Joost Batenburg,Jan Sijbers +1 more
TL;DR: An iterative reconstruction algorithm for discrete tomography, called discrete algebraic reconstruction technique (DART), which is capable of computing more accurate reconstructions from a small number of projection images, or from asmall angular range, than alternative methods.
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3D imaging of nanomaterials by discrete tomography.
Kees Joost Batenburg,Sara Bals,Jan Sijbers,Christian Kübel,Paul A. Midgley,J. C. Hernandez,Ute Kaiser,Ezequiel Roberto Encina,Eduardo A. Coronado,G. Van Tendeloo +9 more
TL;DR: The basic principles of DART are described and it is shown that it can be applied successfully to three different types of samples, consisting of embedded ErSi(2) nanocrystals, a carbon nanotube grown from a catalyst particle and a single gold nanoparticle, respectively.
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Electron tomography based on a total variation minimization reconstruction technique
Bart Goris,W. Van den Broek,Kees Joost Batenburg,Kees Joost Batenburg,H. Heidari Mezerji,Sara Bals +5 more
TL;DR: A new reconstruction algorithm for electron tomography, which is based on compressive sensing, is applied and it is shown that missing wedge artefacts are reduced in the final reconstruction.