# napari-tiledb-bioimg
[](https://github.com/TileDB-Inc/napari-tiledb-bioimg/raw/main/LICENSE)
[](https://pypi.org/project/napari-tiledb-bioimg)
[](https://python.org)
[](https://github.com/TileDB-Inc/napari-tiledb-bioimg/actions)
[](https://napari-hub.org/plugins/napari-tiledb-bioimg)
This plugin supports reading and writing TileDB-BioImaging multi-resolution arrays within Napari.
----------------------------------
## Demo
https://github.com/TileDB-Inc/napari-tiledb-bioimg/assets/327706/b408d634-6ad0-4160-8571-18cf8e37b4cc
## Installation
[pending PyPI release!] You can install `napari-tiledb-bioimg` via [pip]:
pip install napari-tiledb-bioimg
## Quickstart
After [ingesting data using `tiledb-bioimg`](https://github.com/TileDB-Inc/TileDB-BioImaging#examples), then:
- Local images can be loaded using Napari's `File -> Open Folder`, and selecting the TileDB array folder. Choose the `napari-tiledb-bioimg` plugin, if prompted.
- Remote arrays (S3, TileDB Cloud) may be loaded using either the `napari` CLI command:
```
napari --plugin napari-tiledb-bioimg s3://<bucket>/<path/to/tiledb_array>
```
- ... or the Napari viewer load command within the Python prompt:
```
# Within a Napari-enabled Python/IPython prompt, run:
import napari
viewer = napari.Viewer()
viewer.open("tiledb://<namespace>/<array name or UUID>", plugin="napari-tiledb-bioimg")
```
## Contributing
Contributions are very welcome. Tests can be run with tox or pytest.
### Installation from git:
```
pip install git+https://github.com/TileDB-Inc/napari-tiledb-bioimg.git
```
## License
Distributed under the terms of the [MIT] license,
"napari-tiledb-bioimg" is free and open source software.
## Issues
If you encounter any problems, please [file an issue](https://github.com/TileDB-Inc/napari-tiledb-bioimg/issues/new) along with a detailed description.
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