clemreg
Core registration library for CLEM-Reg.
⚠️ Placeholder release. This distribution currently reserves the
clemregname on PyPI. It contains no functionality yet. The CLEM-Reg algorithms live in thenapari-clemregplugin today and are being extracted into this standalone, napari-free core package.
What this will be
clemreg is the pure-Python core of CLEM-Reg — correlative light and electron
microscopy (CLEM) image-volume registration based on common segmented structures
and point-cloud registration. It will operate on plain NumPy arrays with no
napari, Qt or GUI dependencies, so it can be used headlessly, scripted, and
tested in isolation:
- fluorescence (FM) and electron microscopy (EM) segmentation
- point-cloud sampling from segmentations
- point-cloud registration (Rigid / Affine / BCPD)
- image-volume warping
- export of results as a MoBIE project
The napari widget will remain in a separate napari-clemreg package that depends
on this core.
Install
Nothing to use here yet. For the working plugin:
pip install napari-clemreg
Citation
If you use CLEM-Reg in your research, please cite the CLEM-Reg publication (see the main repository).
License
MIT — see LICENSE.
Metadata
Release files for clemreg 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| clemreg-0.0.0.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| clemreg-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.1 kB
Release files / clemreg-0.0.0.tar.gz
| Download URL | clemreg-0.0.0.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / clemreg-0.0.0-py3-none-any.whl
| Download URL | clemreg-0.0.0-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.5
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