AICSImageIO for napari. Multiple file format reading directly into napari using pure Python.
Project description
napari-aicsimageio
AICSImageIO bindings for napari
Features
- Supports reading metadata and imaging data for:
CZI
OME-TIFF
TIFF
- Any formats supported by aicsimageio
- Any additional format supported by imageio
Installation
Stable Release: pip install napari-aicsimageio
Development Head: pip install git+https://github.com/AllenCellModeling/napari-aicsimageio.git
Plugin Variants
There are two variants of this plugin that are added during installation:
aicsimageio-in-memory
, which reads an image fully into memoryaicsimageio-out-of-memory
, which delays reading ZYX chunks until required. This allows for incredible large files to be read and displayed.
Examples of Features
General Image Reading
All image file formats supported by aicsimageio will be read and all raw data will be available in the napari viewer.
In addition, when reading an OME-TIFF, you can view all OME metadata directly in the
napari viewer thanks to ome-types
.
Mosaic Reading
When reading CZI or LIF images, if the image is a mosaic tiled image, napari-aicsimageio
will return the reconstructed image:
Multi-Scene Selection
Experimental
When reading a multi-scene file, a widget will be added to the napari viewer to manage scene selection (clearing the viewer each time you change scene or adding the scene content to the viewer) and a list of all scenes in the file.
Development
See CONTRIBUTING.md for information related to developing the code.
For additional file format support, contributed directly to
AICSImageIO.
New file format support will become directly available in this
plugin on new aicsimageio
releases.
Citation
If you find aicsimageio
(or napari-aicsimageio
) useful, please cite as:
AICSImageIO Contributors (2021). AICSImageIO: Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python [Computer software]. GitHub. https://github.com/AllenCellModeling/aicsimageio
Free software: BSD-3-Clause
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file napari-aicsimageio-0.4.1.tar.gz
.
File metadata
- Download URL: napari-aicsimageio-0.4.1.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 40419d15257b2de9e0f6fd84b9cfe18959aaac47e9633ab6407655e8188159ed |
|
MD5 | e02aceb0ff90f30307d4f08a5b230178 |
|
BLAKE2b-256 | 04fd909ac97bde509daf90f42c6f8a1ee2a5d826152509629627ab0841644e71 |
File details
Details for the file napari_aicsimageio-0.4.1-py2.py3-none-any.whl
.
File metadata
- Download URL: napari_aicsimageio-0.4.1-py2.py3-none-any.whl
- Upload date:
- Size: 8.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6d3024d9aaf68f187aff853858028e2240f401095f7091d990e5c833ca46a5b1 |
|
MD5 | 06984165be782baaadb8d3c26e98c098 |
|
BLAKE2b-256 | c89cd92d89360c895faa2e108d87b2c7ea87efa86a7f18aee6eb560b38f4f722 |