Start here¶
You do not need to write code to use VIPP. Start by opening a complete workflow on synthetic data, learn how to inspect each stage, and only then build or adapt a graph.
A 20-minute route through the manual¶
| Time | Activity | Outcome |
|---|---|---|
| 5 min | Install and launch | VIPP opens inside napari. |
| 5 min | Tour a finished workflow | You can select nodes, inspect outputs, and identify a manual node. |
| 7 min | Build a small workflow | You can add, connect, tune, and save nodes. |
| 3 min | Switch to your data | You understand source choices and the checks required after transfer. |
Learn on the bundled data first
Bundled samples are deterministic, small, and free of privacy or licensing concerns. If a tutorial behaves differently from the manual on a bundled sample, check the documentation version before debugging your microscope file.
What you should understand before batch processing¶
You are ready to run a folder only when you can:
- tell an image, mask, label image, and table apart;
- confirm the axes and physical scale of an input;
- inspect the mask and labels—not only the final table;
- explain the parameters that materially change the result;
- identify representative images that were not used for tuning;
- save a workflow and reopen it in the same VIPP release.
If any of those are unfamiliar, the concepts and scientific-practice sections provide the necessary background without assuming Python knowledge.