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Merge pull request #9 from kabilar/main
Remove `volume_match` schema
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docs/src/pipeline.md

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# Data Pipeline
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Element ZStack is composed of two main schemas, `volume` and `volume_matching`. Data
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export to BossDB is handled with a `bossdb` schema and upload utilities.
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Element ZStack is composed of two main schemas, `volume` and `bossdb`. Data
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export to BossDB is handled with the `bossdb` schema and upload utilities.
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- `volume` module - performs segmentation of volumetric microscopic images with
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`cellpose`.
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- `volume_matching` module - performs volume registration to a common space and matches
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cells across imaging sessions.
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- `bossdb` module - uploads data to BossDB, creates a Neuroglancer visualization, and
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stores the relevant URLs.
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| Segmentation | The core table that executes a SegmentationTask |
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| Segmentation.Mask | Details of the masks identified from the segmentation |
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### `volume_matching` schema ([API docs](https://datajoint.com/docs/elements/element-zstack/latest/api/element_zstack/volume_matching))
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| Table | Description |
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| --- | --- |
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| VolumeMatchTask | Defines the volume matching task |
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| VolumeMatchTask.Volume | Defines the volume segmentations that will be registered in the downstream `VolumeMatch` table |
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| VolumeMatch | Executes the volume matching algorithm |
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| VolumeMatch.Transformation | Store the transformation matrix to the common space |
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| VolumeMatch.CommonMask | Store common mask identifier |
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| VolumeMatch.VolumeMask | For the masks in the common space, store the associated mask in the segmented volumes, and the confidence of the volume registration and cell matching |
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### `bossdb` schema ([API docs](https://datajoint.com/docs/elements/element-zstack/latest/api/element_zstack/bossdb))
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| Table | Description |

element_zstack/volume_matching.py

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setup.py

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setup(
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name=pkg_name.replace("_", "-"),
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version=__version__, # noqa: F821
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description="DataJoint Element for Volume Registration and Cell Matching",
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description="DataJoint Element for Volume Segmentation",
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long_description=long_description,
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long_description_content_type="text/markdown",
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author="DataJoint",
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author_email="[email protected]",
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license="MIT",
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url=f'https://github.com/datajoint/{pkg_name.replace("_", "-")}',
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keywords="neuroscience cell matching volume registration",
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keywords="neuroscience volume segmentation",
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packages=find_packages(exclude=["contrib", "docs", "tests*"]),
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install_requires=requirements,
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)

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