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CiliaQ – a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images

View ORCID ProfileJan Niklas Hansen, Sebastian Rassmann, Birthe Stüven, View ORCID ProfileNathalie Jurisch-Yaksi, View ORCID ProfileDagmar Wachten
doi: https://doi.org/10.1101/2020.09.28.317065
Jan Niklas Hansen
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
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  • For correspondence: jan.hansen@uni-bonn.de dwachten@uni-bonn.de
Sebastian Rassmann
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
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Birthe Stüven
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
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Nathalie Jurisch-Yaksi
2Department of Clinical and Molecular Medicine, The Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
3Kavli Institute for Systems Neuroscience and Centre for Neural Computation, The Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
4Department of Neurology and Clinical Neurophysiology, St. Olavs University Hospital, Trondheim, Norway
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Dagmar Wachten
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
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  • For correspondence: jan.hansen@uni-bonn.de dwachten@uni-bonn.de
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Posted January 19, 2021.
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CiliaQ – a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images
Jan Niklas Hansen, Sebastian Rassmann, Birthe Stüven, Nathalie Jurisch-Yaksi, Dagmar Wachten
bioRxiv 2020.09.28.317065; doi: https://doi.org/10.1101/2020.09.28.317065
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CiliaQ – a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images
Jan Niklas Hansen, Sebastian Rassmann, Birthe Stüven, Nathalie Jurisch-Yaksi, Dagmar Wachten
bioRxiv 2020.09.28.317065; doi: https://doi.org/10.1101/2020.09.28.317065

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