Search Results - "Joost, K"

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  1. 1

    Fast and flexible X-ray tomography using the ASTRA toolbox by van Aarle, Wim, Palenstijn, Willem Jan, Cant, Jeroen, Janssens, Eline, Bleichrodt, Folkert, Dabravolski, Andrei, De Beenhouwer, Jan, Joost Batenburg, K, Sijbers, Jan

    Published in Optics express (31-10-2016)
    “…Object reconstruction from a series of projection images, such as in computed tomography (CT), is a popular tool in many different application fields. Existing…”
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  2. 2

    The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography by van Aarle, Wim, Palenstijn, Willem Jan, De Beenhouwer, Jan, Altantzis, Thomas, Bals, Sara, Batenburg, K. Joost, Sijbers, Jan

    Published in Ultramicroscopy (01-10-2015)
    “…We present the ASTRA Toolbox as an open platform for 3D image reconstruction in tomography. Most of the software tools that are currently used in electron…”
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  3. 3

    CT-based data generation for foreign object detection on a single X-ray projection by Andriiashen, Vladyslav, van Liere, Robert, van Leeuwen, Tristan, Batenburg, K. Joost

    Published in Scientific reports (02-02-2023)
    “…Although X-ray imaging is used routinely in industry for high-throughput product quality control, its capability to detect internal defects has strong…”
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  4. 4

    Just-in-time deep learning for real-time X-ray computed tomography by Graas, Adriaan, Coban, Sophia Bethany, Batenburg, K. Joost, Lucka, Felix

    Published in Scientific reports (16-11-2023)
    “…Real-time X-ray tomography pipelines, such as implemented by RECAST3D, compute and visualize tomographic reconstructions in milliseconds, and enable the…”
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  5. 5

    Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data by Hendriksen, Allard A., Bührer, Minna, Leone, Laura, Merlini, Marco, Vigano, Nicola, Pelt, Daniël M., Marone, Federica, di Michiel, Marco, Batenburg, K. Joost

    Published in Scientific reports (04-06-2021)
    “…Synchrotron X-ray tomography enables the examination of the internal structure of materials at submicron spatial resolution and subsecond temporal resolution…”
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  6. 6

    Three-Dimensional Atomic Imaging of Colloidal Core–Shell Nanocrystals by Bals, Sara, Casavola, Marianna, van Huis, Marijn A, Van Aert, Sandra, Batenburg, K. Joost, Van Tendeloo, Gustaaf, Vanmaekelbergh, Daniël

    Published in Nano letters (10-08-2011)
    “…Colloidal core–shell semiconductor nanocrystals form an important class of optoelectronic materials, in which the exciton wave functions can be tailored by the…”
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  7. 7

    Tomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in Python by Hendriksen, Allard A., Schut, Dirk, Palenstijn, Willem Jan, Viganó, Nicola, Kim, Jisoo, Pelt, Daniël M., van Leeuwen, Tristan, Joost Batenburg, K.

    Published in Optics express (22-11-2021)
    “…Tomography is a powerful tool for reconstructing the interior of an object from a series of projection images. Typically, the source and detector traverse a…”
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  8. 8

    Measuring Lattice Strain in Three Dimensions through Electron Microscopy by Goris, Bart, De Beenhouwer, Jan, De Backer, Annick, Zanaga, Daniele, Batenburg, K. Joost, Sánchez-Iglesias, Ana, Liz-Marzán, Luis M, Van Aert, Sandra, Bals, Sara, Sijbers, Jan, Van Tendeloo, Gustaaf

    Published in Nano letters (14-10-2015)
    “…The three-dimensional (3D) atomic structure of nanomaterials, including strain, is crucial to understand their properties. Here, we investigate lattice strain…”
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  9. 9

    Enabling 3D CT-scanning of cultural heritage objects using only in-house 2D X-ray equipment in museums by Bossema, Francien G., Palenstijn, Willem Jan, Heginbotham, Arlen, Corona, Madeline, van Leeuwen, Tristan, van Liere, Robert, Dorscheid, Jan, O’Flynn, Daniel, Dyer, Joanne, Hermens, Erma, Batenburg, K. Joost

    Published in Nature communications (14-05-2024)
    “…Visualizing the internal structure of museum objects is a crucial step in acquiring knowledge about the origin, state, and composition of cultural heritage…”
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  10. 10

    A novel method for dendrochronology of large historical wooden objects using line trajectory X-ray tomography by Bossema, Francien G., Domínguez-Delmás, Marta, Palenstijn, Willem Jan, Kostenko, Alexander, Dorscheid, Jan, Coban, Sophia Bethany, Hermens, Erma, Batenburg, K. Joost

    Published in Scientific reports (26-05-2021)
    “…Dendrochronology is an essential tool to determine the date and provenance of wood from historical art objects. As standard methods to access the tree rings…”
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  11. 11

    A bimodal tomographic reconstruction technique combining EDS-STEM and HAADF-STEM by Zhong, Zhichao, Goris, Bart, Schoenmakers, Remco, Bals, Sara, Batenburg, K. Joost

    Published in Ultramicroscopy (01-03-2017)
    “…A three-dimensional (3D) chemical characterization of nanomaterials can be obtained using tomography based on high angle annular dark field (HAADF) scanning…”
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  12. 12

    X-ray computed tomography for non-invasive dendrochronology reveals a concealed double panelling on a painting from Rubens' studio by Domínguez-Delmás, Marta, Bossema, Francien G, Dorscheid, Jan, Coban, Sophia Bethany, Hall-Aquitania, Moorea, Batenburg, K Joost, Hermens, Erma

    Published in PloS one (27-08-2021)
    “…Dating the wood from historical art objects is a crucial step to ascertain their production time, and support or refute attribution to an artist or a workshop…”
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  13. 13

    Rapid low dose electron tomography using a direct electron detection camera by Migunov, Vadim, Ryll, Henning, Zhuge, Xiaodong, Simson, Martin, Strüder, Lothar, Batenburg, K. Joost, Houben, Lothar, Dunin-Borkowski, Rafal E.

    Published in Scientific reports (05-10-2015)
    “…We demonstrate the ability to record a tomographic tilt series containing 3487 images in only 3.5 s by using a direct electron detector in a transmission…”
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  14. 14

    How auto-differentiation can improve CT workflows: classical algorithms in a modern framework by Schoonhoven, Richard, Skorikov, Alexander, Palenstijn, Willem Jan, Pelt, Daniël M, Hendriksen, Allard A, Batenburg, K Joost

    Published in Optics express (11-03-2024)
    “…Many of the recent successes of deep learning-based approaches have been enabled by a framework of flexible, composable computational blocks with their…”
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  15. 15

    Improving reproducibility in synchrotron tomography using implementation‐adapted filters by Ganguly, Poulami Somanya, Pelt, Daniël M., Gürsoy, Doga, de Carlo, Francesco, Batenburg, K. Joost

    Published in Journal of synchrotron radiation (01-09-2021)
    “…For reconstructing large tomographic datasets fast, filtered backprojection‐type or Fourier‐based algorithms are still the method of choice, as they have been…”
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  16. 16

    Real-time reconstruction and visualisation towards dynamic feedback control during time-resolved tomography experiments at TOMCAT by Buurlage, Jan-Willem, Marone, Federica, Pelt, Daniël M., Palenstijn, Willem Jan, Stampanoni, Marco, Batenburg, K. Joost, Schlepütz, Christian M.

    Published in Scientific reports (05-12-2019)
    “…Tomographic X-ray microscopy beamlines at synchrotron light sources worldwide have pushed the achievable time-resolution for dynamic 3-dimensional structural…”
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  17. 17

    An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging by Van Eyndhoven, Geert, Batenburg, K. Joost, Kazantsev, Daniil, Van Nieuwenhove, Vincent, Lee, Peter D., Dobson, Katherine J., Sijbers, Jan

    Published in IEEE transactions on image processing (01-11-2015)
    “…The study of fluid flow through solid matter by computed tomography (CT) imaging has many applications, ranging from petroleum and aquifer engineering to…”
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  18. 18

    2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning by Kiss, Maximilian B., Coban, Sophia B., Batenburg, K. Joost, van Leeuwen, Tristan, Lucka, Felix

    Published in Scientific data (04-09-2023)
    “…Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale…”
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  19. 19
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    Phase retrieval in in-line x-ray phase contrast imaging based on total variation minimization by Kostenko, Alexander, Batenburg, K Joost, Suhonen, Heikki, Offerman, S Erik, van Vliet, Lucas J

    Published in Optics express (14-01-2013)
    “…State-of-the-art techniques for phase retrieval in propagation based X-ray phase-contrast imaging are aiming to solve an underdetermined linear system of…”
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