Advanced Learning, Demo, Q&As

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We will introduce napari, a fast, interactive, multi-dimensional image viewer for Python. napari is designed for browsing, annotating, and analyzing large multi-dimensional images. We will go through tutorials on the viewer, explaining how to load large imaging datasets and use different napari layers, like shapes, points, and labels to manually annotate them. We’ll show how to use the viewer from jupyter notebooks to interactively develop Python image processing pipelines using libraries like scikit-image. We will end by introducing the napari plugin system and demonstrate how to develop your own IO plugin for more easily viewing your datasets in napari.TAPAS, will be presented.