This work is licensed by Marcelo Leomil Zoccoler, Johannes Richard Müller, Till Korten and Robert Haase, PoL Dresden under a Creative Commons Attribution 4.0 International License.
This repository hosts notebooks, information and data for the "Image data science with Python and Napari" course @EPFL 2022.
https://biapol.github.io/Image-data-science-with-Python-and-Napari-EPFL2022/
It is maintained using Jupyter lab and build using Jupyter book.
This course was held virtually at EPFL Lausanne in December 2022. We would like to thank Suliana Manley for the invitation, Edward Andò, Mallory Wittwer, Florian Aymanns for the local support and the EPFL Lausanne for financial support. We would like to thank all the people who shared teaching materials we are reusing here, in particular Anna Poetsch (Biotec Dresden), Benoit Lombardot (MPI-CBG Dresden), Martin Weigert (EPFL Lausanne) and Alexander Krull (U Birmingham). We acknowledge support by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy—EXC2068–Cluster of Excellence Physics of Life of TU Dresden.