napari-automatic-range
An open‑source, reproducible intensity‑scaling method that leverages the nuclear signal as an anchor to calibrate per‑channel contrast.
This napari plugin was generated with copier using the napari-plugin-template.
Installation
You can install napari-automatic-range via pip:
pip install napari-automatic-range
If napari is not already installed, you can install napari-automatic-range with napari and Qt via:
pip install "napari-automatic-range[all]"
To install latest development version :
pip install git+https://github.com/pacomito/napari-automatic-range.git
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 GNU GPL v3.0 license, "napari-automatic-range" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Metadata
Release files for napari-automatic-range 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari_automatic_range-0.1.4.tar.gz | 53.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_automatic_range-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 90.0 kB
Release files / napari_automatic_range-0.1.4.tar.gz
| Download URL | napari_automatic_range-0.1.4.tar.gz |
|---|---|
| Size | 53.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.18
|
Release files / napari_automatic_range-0.1.4-py3-none-any.whl
| Download URL | napari_automatic_range-0.1.4-py3-none-any.whl |
|---|---|
| Size | 36.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.18
|