Level: Beginner | Duration: 90 minutes | No Python required
This workshop introduces napari through its graphical interface — no coding knowledge needed. In 90 minutes you will open and explore multi-dimensional images, install and use plugins to read real microscopy data, annotate images, and see how plugins can analyze them. Everything runs in the napari bundled app.
It is the first of two 90-minute companions. To go further, continue with Intro to napari: Extending and start controlling napari from Python.
Prerequisites¶
No prior napari or Python experience needed
Install the napari bundled app before starting — see Setup and Installation
What you’ll learn¶
Launch and navigate the napari viewer
Understand how napari thinks about images — images as arrays of numbers
Open and visualize multi-dimensional image data
Find and install community plugins from the napari hub
Read real image data: local microscopy files and remote OME-Zarr
Inspect image metadata (axis labels, scale, units) with napari-metadata
Annotate images with Points and Shapes and get counts from the features table
See a full filter → threshold → segment → measure workflow (demo)
Session schedule¶
Total time: 90 minutes
| Time | Segment |
|---|---|
| 0:00 | Welcome, logistics, code of conduct |
| 0:05 | What is napari? Launch and verify the app |
| 0:10 | How does napari think about images? (images as arrays) |
| 0:15 | Exploring the viewer — sliders, layers, colors, 3D, screenshots |
| 0:35 | Plugins & reading real images — hub, install, local TIFF, OME-Zarr |
| 0:55 | Annotate & measure — Points & Shapes, features-table counts |
| 1:07 | Analysis demo — filter → threshold → segment → measure |
| 1:17 | Where to go next |
| 1:22 | Survey and wrap-up |
Related¶
Continue with Intro to napari: Extending, which assumes the skills learned here plus a little scripting experience.
Prefer the full-length experience? See the 4-hour Introduction to napari.