Paul van Schayck (J.P.)
- Characterization of the Timepix3 hybrid pixel detector for electron microscopy imaging.
- Development of new methods for research data management within life sciences.
van Schayck, J. P., van Genderen, E., Maddox, E., Roussel, L., Boulanger, H., Frojdh, E., Abrahams, J.-P., Peters, P. J., & Ravelli, R. B. G. (2020). Sub-pixel electron detection using a convolutional neural network. Ultramicroscopy, 218, Article 113091. https://doi.org/10.1016/j.ultramic.2020.113091
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Lamers, M. M., Beumer, J., van der Vaart, J., Knoops, K., Puschhof, J., Breugem, T. I., Ravelli, R. B. G., Paul van Schayck, J., Mykytyn, A. Z., Duimel, H. Q., van Donselaar, E., Riesebosch, S., Kuijpers, H. J. H., Schippers, D., van de Wetering, W. J., de Graaf, M., Koopmans, M., Cuppen, E., Peters, P. J., ... Clevers, H. (2020). SARS-CoV-2 productively infects human gut enterocytes. Science, 369(6499), 50-54. https://doi.org/10.1126/science.abc1669
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Paul van Schayck (J.P.)
Works on
- Characterization of the Timepix3 hybrid pixel detector for imaging transmission electron microscopy
- New methods for research data management in life sciences.
Division of Nanoscopy, M4I, FHML
DataHub Maastricht