Description
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.
Vacancies
No vacancies currently.
News
Quality guarantee for tomographic images developed
CWI researcher Wagner Fortes has developed new methods to determine the quality of tomographic images. Tomography is an imaging technique used in for instance medical CT scanners and electron microscopes that uses penetrating beams to record a series of two-dimensional images from a range of angles.
CWI leads European network of imaging specialists
Centrum Wiskunde & Informatica (CWI) will lead the research network EXTREMA, which was officially launched yesterday with a kick-off meeting in Brussels. EXTREMA aims to create an interdisciplinary research community consisting of both X-ray specialists and mathematicians. Together they will work on the next generation of imaging techniques to advance both science and industrial R&D.
Solar cells imaged at the nanoscale in 3D
Researchers of Centrum Wiskunde & Informatica (CWI) in Amsterdam succeeded in imaging the three-dimensional structure of solar cells with unprecedented accuracy. The results of this joint research with colleagues from the University of California in Davis and the Pacific Northwest National Laboratory are published today in the journal Advanced Functional Materials.
Joost Batenburg professor Discrete Mathematics and Tomography at Leiden University
As of October 1, 2012, Joost Batenburg of Centrum Wiskunde & Informatica (CWI) has been appointed Professor of Discrete Mathematics and Tomography at the Mathematical Institute of Leiden University.
Members
Associated Members
Publications
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Kadu, A.A, Mansour, H, & Boufounos, P.T. (2020). High-contrast reflection tomography with total-variation constraints. IEEE Transactions on Computational Imaging, 6, 1523–1536. doi:10.1109/TCI.2020.3038171
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Schoonhoven, R.A, Buurlage, J, Pelt, D.M, & Batenburg, K.J. (2020). Real-time segmentation for tomographic imaging. In IEEE 30th International Workshop on Machine Learning for Signal Processing (pp. 1–6). doi:10.1109/MLSP49062.2020.9231642
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Pilikos, G, Horchens, L, Batenburg, K.J, van Leeuwen, T, & Lucka, F. (2020). Deep data compression for approximate ultrasonic image formation. In 2020 IEEE International Ultrasonics Symposium. doi:10.1109/IUS46767.2020.9251753
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Luiken, N, & van Leeuwen, T. (2020). Seismic wavefield redatuming with regularized multi-dimensional deconvolution. Inverse Problems, 36(9). doi:10.1088/1361-6420/aba9d1
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Ganguly, P.S, Lucka, F, Hupkes, H.J, & Batenburg, K.J. (2020). Atomic super-resolution tomography. In Lecture Notes in Computer Science. doi:10.1007/978-3-030-51002-2_4
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Sero, D, Hermens, E, Garachon, I, Scholten, F, van Liere, R, & Batenburg, K.J. (2020). The study of three-dimensional fingerprints in cultural heritage: Current trends and challenges.
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Vanrompay, H, Buurlage, J, Pelt, D.M, Kumar, V, Zhuo, X, Liz-Marzán, L.M, … Batenburg, K.J. (2020). Real-Time Reconstruction of Arbitrary Slices for Quantitative and In Situ 3D Characterization of Nanoparticles. Particle and Particle Systems Characterization, 37(7). doi:10.1002/ppsc.202000073
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de Groot, L.V, Fabian, K, Béguin, A, Kosters, M, Fu, R.R, Harrison, R.J, … van Leeuwen, T. (2020). First steps towards deriving rock magnetic and paleomagnetic data from subsets of magnetic grains in lavas using Micromagnetic Tomography. In EGU General Assembly 2020. doi:10.5194/egusphere-egu2020-18114
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Luiken, N, & van Leeuwen, T. (2020). Comparing RSVD and Krylov methods for linear inverse problems. Computers & Geosciences, 137. doi:10.1016/j.cageo.2020.104427
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Bals, S, Albrecht, W, Vanrompay, H, Bladt, E, Skorikov, A, De Oliveira, T.M, … van Aert, S. (2020). Novel approaches for electron tomography to investigate the structure and stability of nanomaterials in 3 dimensions. Microscopy and Microanalysis. doi:10.1017/S1431927620017031
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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Real-Time 3D Tomography ()
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Cervical Disease Maps
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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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Translation-Driven Development of Deep Learning for Simultaneous Tomographic Image Reconstruction and Segmentation (None)
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Deep learning and compressed sensing for ultrasonic nondestructive testin (PPS Applus RTD)
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Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA)
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Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts (xCTing)
Related partners
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Fraunhofer Gesellschaft
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Naturalis
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Rijksmuseum Amsterdam
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Universiteit Wageningen
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University of Cambridge
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GREEFA
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Katholieke Universiteit Leuven
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Rheinisch-Westfaelische Technische Hochschule Aachen
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Universiteit Utrecht