Skip to main content

organelle-segmenter-plugin

License BSD-3 PyPI Python Version tests codecov napari hub

A napari plugin implementing infer-subc segmentation workflows.

See infer-subc for more information.

FRAMEWORK, RESOURCES & CONTRIBUTIONS

Forked from Allen Institute for Cell Science project

The Allen Cell & Structure Segmenter plugin for napari, from which this projects is forked, provides an intuitive graphical user interface to access the powerful segmentation capabilities of an open source 3D segmentation software package developed and maintained by the Allen Institute for Cell Science (classic workflows only with v1.0). ​The Allen Cell & Structure Segmenter is a Python-based open source toolkit developed at the Allen Institute for Cell Science for 3D segmentation of intracellular structures in fluorescence microscope images. This toolkit brings together classic image segmentation and iterative deep learning workflows first to generate initial high-quality 3D intracellular structure segmentations and then to easily curate these results to generate the ground truths for building robust and accurate deep learning models. The toolkit takes advantage of the high replicate 3D live cell image data collected at the Allen Institute for Cell Science of over 30 endogenous fluorescently tagged human induced pluripotent stem cell (hiPSC) lines. Each cell line represents a different intracellular structure with one or more distinct localization patterns within undifferentiated hiPS cells and hiPSC-derived cardiomyocytes.

More details about Segmenter can be found at https://allencell.org/segmenter

Issues

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

Contributing

Contributions are very welcome.

License

Distributed under the terms of the BSD-3 license

"organelle-segmenter-plugin" is free and open source software.

Metadata

Release files for organelle-segmenter-plugin 0.0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for organelle-segmenter-plugin 0.0.9
File Size Uploaded
organelle_segmenter_plugin-0.0.9.tar.gz 65.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for organelle-segmenter-plugin 0.0.9
File Interpreter ABI Platform
organelle_segmenter_plugin-0.0.9-py3-none-any.whl Python 3 none any Details

Total release size: 143.6 kB

Release files / organelle_segmenter_plugin-0.0.9.tar.gz

Download URL organelle_segmenter_plugin-0.0.9.tar.gz
Size 65.1 kB
Tags Source
SHA-256 checksum
How to use checksums
660de2687625e41b0fffcca6a2d85528efe16ca5c88e9032e3130652af794859
BLAKE2b-256 checksum
How to use checksums
85d8a52ea2637d57b17a58d50e3e055abdd32895fbb4ab4ccbefa341d2248573
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 14, 2026.

Transparency log

Release files / organelle_segmenter_plugin-0.0.9-py3-none-any.whl

Download URL organelle_segmenter_plugin-0.0.9-py3-none-any.whl
Size 78.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4b5e9fe55849b00caec4df5804d07c090780c129f043c2ea5f123c22a4d3f529
BLAKE2b-256 checksum
How to use checksums
29a1bd500f618dc2e17afeddb32f03aef6dd64d42fd4469c93bbbc7aff1a20f1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 14, 2026.

Transparency log

Release history Release notifications | RSS feed

0.0.11

2 release files

0.0.10

2 release files

This release

0.0.9 This release

2 release files

0.0.6

2 release files

0.0.5

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page