Stitch napari image layers in 2-3D+t
Project description
napari-stitcher
A napari plugin for stitching large multi-positioning datasets in 2/3D+t using multiview-stitcher
.
Image data by Arthur Michaut @ Jérôme Gros Lab @ Institut Pasteur.
Quick guide:
- Directly stitch napari layers: Use napari to load, visualize and preposition the tiles to be stitched.
- When working with multi-channel data, stick to the following naming convention:
{tile} :: {channel}
. - Load either all or just a subset of the layers into the plugin.
- Choose registration options: registration channel, binning and more.
- Stitching = registration (refining the positions, optional) + fusion (joining the tiles into a single image).
- The registration result is shown in the viewer and the fused channels are added as new layers.
Demo
https://github.com/user-attachments/assets/8773e49f-af18-4ff3-ab2f-2a5f1b1cadf2
This demo uses the awesome napari-threedee
for prepositioning the tiles. Image data: BigStitcher.
Documentation
Head over to the user guide for more details.
Installation
You can install napari-stitcher
via pip
:
pip install napari-stitcher
For more installation options, see the installation docs.
Contributing
Contributions are very welcome. Tests can be run with tox
.
License
Distributed under the terms of the [BSD-3] license, "napari-stitcher" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
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