napari-vesicles-segmentation

A simple plugin to detect vesicles in cells images.


    License BSD-3 PyPI Python Version tests codecov napari hub

    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

    1. Open napari
    2. Open your data usage-open-data
    3. Launch the vesicles-segmentation plugin
    4. Select the data you want to segment and set the parameters of the segmentation usage-setup
      • 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.
    5. 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. usage-segmentation

    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.

    Version:

    • 0.0.1

    Release date:

    • 08 July 2022

    First released:

    • 08 July 2022

    License:

    • BSD-3-Clause

    Supported data:

    • Information not submitted

    GitHub activity:

    • Stars: 4
    • Forks: 0
    • Issues + PRs: 0

    Python versions supported:

    Operating system:

    Requirements:

    • numpy
    • magicgui
    • qtpy
    • scikit-image
    • scipy

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