napari-vesicles-segmentation
A simple plugin to detect vesicles in cells images.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-vesicles-segmentation via pip:
pip install napari-vesicles-segmentation
To install latest development version :
pip install git+https://github.com/alexisjapas/napari-vesicles-segmentation.git
Usage
- Open napari
- Open your data
- Launch the vesicles-segmentation plugin
- Select the data you want to segment and set the parameters of the segmentation
- image: The image to segment vesicles in. The image can be a 2D or 3D temporal stack of images.
- minimum vesicles size: The minimum size of the vesicles to detect. Smaller detected vesicles are removed.
- membrane erosion: The size of the disk radius used for eroding the cell. This is used to remove the external membrane. This parameter scales when downsizing the image, for more information see 'downsizing ratio' parameter.
- closing size: The size of the disk radius used for closing the cell. This is used to fill holes in the cell. This parameter scales when downsizing the image, for more information see 'downsizing ratio' parameter.
- clip: If set to zero, no standardization is performed. Otherwise, the standard deviation of the image is set to n_sigma * the standard deviation of the image, the image is standardized and its values are clipped to the range [-1, 1] in order to remove outliers. The higher the value of n_sigma, the less outliers are removed. This operation can lead to a better detection of the cell.
- downsampling ratio: The downsampling ratio used for the downsampled image. This is used to speed up the computation. Downsampling the image have impact in reducing the resolution of erosion and closing e.g. for a downsize ratio of 2, setting the erosion size to 3 will result in an erosion size of 6.
- display cell detection: If set to True, the cell detection is displayed in the viewer instead of the vesicle detection.
- Click on the "Segment" button to start the segmentation. This can take few seconds or minutes depending on the size of the data. The result is added to the viewer as below.
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the BSD-3 license, "napari-vesicles-segmentation" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Metadata
Release files for napari-vesicles-segmentation 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| napari-vesicles-segmentation-0.0.1.tar.gz | 1.3 MB | Without provenance | Details for napari-vesicles-segmentation-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| napari_vesicles_segmentation-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for napari_vesicles_segmentation-0.0.1-py3-none-any.whl |
Total release size: 1.3 MB
Release files / napari-vesicles-segmentation-0.0.1.tar.gz
| Download URL | napari-vesicles-segmentation-0.0.1.tar.gz |
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| Size | 1.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / napari_vesicles_segmentation-0.0.1-py3-none-any.whl
| Download URL | napari_vesicles_segmentation-0.0.1-py3-none-any.whl |
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| Size | 9.2 kB |
| Tags | Python 3 |
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