Skip to main content

Segment Any Confocal Images is a flexible and high-performance plugin designed for segmentation of confocal microscopy data. It supports both 2D and 3D image stacks, enabling users to identify and extract cellular or subcellular structures with minimal manual effort.

Project description

segment-any-confocal-images

License MIT PyPI Python Version tests codecov napari hub npe2 Copier

Segment Any Confocal Images is a flexible and high-performance plugin designed for segmentation of confocal microscopy data. It supports both 2D and 3D image stacks, enabling users to identify and extract cellular or subcellular structures with minimal manual effort.


This napari plugin was generated with copier using the napari-plugin-template (None).

Installation

You can install segment-any-confocal-images via pip:

pip install segment-any-confocal-images

If napari is not already installed, you can install segment-any-confocal-images with napari and Qt via:

pip install "segment-any-confocal-images[all]"

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 MIT license, "segment-any-confocal-images" is free and open source software

Issues

If you encounter any problems, please [file an issue] along with a detailed description.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

segment_any_confocal_images-0.0.2.tar.gz (7.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

segment_any_confocal_images-0.0.2-py3-none-any.whl (29.0 kB view details)

Uploaded Python 3

File details

Details for the file segment_any_confocal_images-0.0.2.tar.gz.

File metadata

File hashes

Hashes for segment_any_confocal_images-0.0.2.tar.gz
Algorithm Hash digest
SHA256 f72e1226aa385c379cdbba7bd5e9b112d40ecaf4a700316ea0dfb124f91238e4
MD5 d92899e90b014213da76599e7c808e4f
BLAKE2b-256 52ab6696dbb5647e4aad562ac1518552b33554af1ad36f9819dfd9c738003174

See more details on using hashes here.

File details

Details for the file segment_any_confocal_images-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for segment_any_confocal_images-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d1b883cd8c44c873f26b0d57a0664bb2b4dfaaa8e86013645ae972a1f6180fc9
MD5 e5f9c1dd5aff4b6b1446f49e8fd30fa7
BLAKE2b-256 9b62436c1ee50872dce59f1dead14733e385b9c36c31379561e641b4dbbdfc35

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page