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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, Nathalie 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
Sebastian Rassmann
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
Birthe Stüven
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
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
Dagmar Wachten
1Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
Posted September 28, 2020.
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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