Explore, annotate, and analyse multidimensional image data with napari
summary
Displays arbitrary n‑dimensional NumPy or Zarr arrays with sliders and fast OpenGL tiles so a 213 GB chunked volume is browseable, overlays points, segmentations, polygons and surfaces, and writes edits back into Zarr labels live. Integrates with Dask and PyTorch pipelines, supports ~450 plugins including a SAM v2 segmenter, runs on iPad via Sidecar, and installs small widget plugins with a napari.yaml manifest. n-dimensional image viewer Zarr-backed labels auto-updating widget plugins
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chapters (17)
- 0:00Introduction to napari
- 1:50What is napari
- 2:52Exploring large images
- 3:54Multidimensional microscopy data
- 6:25Layers and annotations
- 8:48Manual annotation workflows
- 10:56Large data with Dask and Zarr
- 13:01Python ecosystem integration
- 14:03napari plugins intro
- 14:47Reader plugins
- 16:32Writer plugins
- 17:15Widget plugins
- 21:10Plugin from script
- 24:05Installing plugins
- 25:08Popular napari plugins
- 26:53Community involvement
- 27:58Q&A
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