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A collection of scientific images used for demonstration purposes in the Image Data Visualization workshop given in the EPFL EIAS 2023 summer school by the EPFL Center for Imaging. The images are automatically downloaded and used in the code repository Image Data Visualization with Python and Napari on GitLab. The original provenance of the images is summarized below. cell_tracking_2d.tif Cell Tracking Challenge deepslide.png DeepSlides dataset drosophila_trachea.tif Provided by the Lemaitre lab in EPFL. lungs_ct.tif Provided by Prof. De Palma's lab in EPFL. snow_3d.tif Example data from the Python spam package. crystallites.tif Provided by the LAS lab in EPFL
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 21 | |
| downloads | 51 |

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