organelle-segmenter-plugin 0.0.11

A plugin that enables organelle segmentation, forked from tools from Allen Institute for Cell Science

organelle-segmenter-plugin

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.