napari-locan
Load, visualize and analyze single-molecule localization microscopy (SMLM) data.
napari-locan is a napari plugin that implements a subset of methods from locan, a python-based library with code for analyzing SMLM data. Locan provides extended functionality that is better suited for script- or notebook-based analysis procedures. napari-locan is well suited for exploratory data analysis within napari.
For details on usage and development of napari-locan please read the documentation.
Installation
Make sure to have Qt bindings installed in your python environment of choice.
You can install napari-locan from PyPI:
pip install napari-locan
or from conda-forge:
mamba install -c conda-forge napari-locan
Please read the documentation on installation for more details.
Usage
Please read the documentation for details.
Contributing
Contributions are very welcome. Please read the documentation on development for details.
Credit
The plugin was developed in the Department of Biotechnology and Biophysics, Würzburg University, Germany. It is based on locan. So credit goes to the locan developers and can be cited.
License
Distributed under the terms of the BSD-3 license, "napari-locan" is free and open source software. See the LICENSE file for details.
Issues
If you encounter any problems, please file an issue along with a detailed description.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
1 maintainer
Metadata
1 maintainer
Release files for napari-locan 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari_locan-0.7.0.tar.gz | 364.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_locan-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 428.8 kB
Release files / napari_locan-0.7.0.tar.gz
| Download URL | napari_locan-0.7.0.tar.gz |
|---|---|
| Size | 364.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
664b36b290989ea851fb65779965897789c04857cad76092c6498a895ebef39c
|
|
BLAKE2b-256 checksum How to use checksums |
8bb7ac8cc4c7fde234f7b25598adc17955b0b0cd963752084e23f928be60a6c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 Mar 17, 2025.
Transparency logRelease files / napari_locan-0.7.0-py3-none-any.whl
| Download URL | napari_locan-0.7.0-py3-none-any.whl |
|---|---|
| Size | 64.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b0ae60ec70a08ecadd135af7749d8b4181659a3e72b92e4afa97320fce6766e3
|
|
BLAKE2b-256 checksum How to use checksums |
09f840c511383ea5d93c1806f3465aaf71567ae2626ddd5439d9531ac6c82950
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 Mar 17, 2025.
Transparency log
