Description
Leader of the group Computational Imaging: Joost Batenburg.
Our research group is developing the next generation of 3D imaging – enabling scientists to look further into objects of all kinds. Based on mathematics, algorithms and numerical solution techniques, our approach is interdisciplinary, combining aspects of mathematics, computer science and physics. We pride ourselves on the versatility of our solutions, and our algorithms can be applied to a wide range of imaging in science, medicine and industry. In Computational Imaging, it’s our goal to constantly push the boundaries of research. By combining advanced image acquisition, parameter estimation, and discrete tomography algorithms for example, we are able to develop workflows for 3D electron microscopy at atomic resolution.
News
Jeroen Hazewinkel wins prize for best presentation
At the annual meeting of the J.M. Burgers Centrum (the Research School for Fluid Dynamics) Jeroen Hazewinkel of the Centrum Wiskunde & Informatica (CWI) has been awarded the first prize for his presentation about tomographical (3D) reconstructions of internal water waves.
Better image quality for virtual reality with computer science
Less image delays, less 'image echoes' and more fluid movements in virtual reality (VR): this is all possible with the research of Ferdi Smit of the Centrum Wiskunde & Informatica (CWI), the Dutch national research center for mathematics and computer science in Amsterdam, the Netherlands.
Members
Associated Members
Publications
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Zhong, Z, Palenstijn, W.J, Adler, J, & Batenburg, K.J. (2018). EDS tomographic reconstruction regularized by total nuclear variation joined with HAADF-STEM tomography. Ultramicroscopy, 191, 34–43. doi:10.1016/j.ultramic.2018.04.011
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Met minder metingen meer laten zien - Hypothese - 01-06-18. (2018). Met minder metingen meer laten zien - Hypothese - 01-06-18.
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Viganò, N.R, & Ludwig, W. (2018). Advances in 6d diffraction contrast tomography. 24th International congress on x-ray optics and microanalysis (ICXOM24), 13(4). doi:10.1088/1748-0221/13/04/C04017
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3D-Scanners heruitvinden - IPN - 01-04-18. (2018). 3D-Scanners heruitvinden - IPN - 01-04-18.
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Berkeley Lab 'minimalist machine learning' algorithms analyze images from very little data - Spacedaily.com - 28-02-18. (2018). Berkeley Lab 'minimalist machine learning' algorithms analyze images from very little data - Spacedaily.com - 28-02-18.
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Viganò, N.R, & Solé, V.A. (2018). Physically corrected forward operators for induced emission tomography: A simulation study. Measurement Science and Technology, 29(3). doi:10.1088/1361-6501/aa9d54
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van Leeuwen, T, Maretzke, S.C, & Batenburg, K.J. (2018). Automatic alignment for three-dimensional tomographic reconstruction. Inverse Problems, 34(2). doi:10.1088/1361-6420/aaa0f8
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Batenburg wint prijs voor algoritmes - Computable - 07-12-2017. (2017). Batenburg wint prijs voor algoritmes - Computable - 07-12-2017.
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Prijs voor hoogleraar Batenburg - Leidsch Dagblad - 06-12-2017. (2017). Prijs voor hoogleraar Batenburg - Leidsch Dagblad - 06-12-2017.
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ICT-prijs naar geavanceerde tomografie-algoritmes - Bits&Chips - 05-12-2017. (2017). ICT-prijs naar geavanceerde tomografie-algoritmes - Bits&Chips - 05-12-2017.
Software
Current projects with external funding
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Mathematics and Algorithms for 3D Imaging of Dynamic Processes
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Non-destructive 3D spectral imaging: applications in the poultry industry
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PPS contract Planmeca
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Real-Time 3D Tomography
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The See-Through Museum
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Automated multi-modal tomography for sub-22nm IC nodes (AMTIC)
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CT for Art: from Images to Patterns (IMPACT4Art)
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MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING)
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Volumetric medical x-ray imaging at extremely low dose (VOXEL)
Related partners
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Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, France
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CNR Pisa
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COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
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IMAGINE OPTIC
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Meyn Food Processing Technology B.V.
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Naturalis
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Planmeca
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Rijksmuseum Amsterdam
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Universidad Politécnica de Madrid
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FEI
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IMEC
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Technische Universiteit Delft