| Name | locan JSON |
| Version |
0.19.1
JSON |
| download |
| home_page | |
| Summary | Analysis software for single-molecule localization microscopy |
| upload_time | 2024-03-14 11:52:12 |
| maintainer | Sören Doose |
| docs_url | None |
| author | Locan Developers |
| requires_python | >=3.9 |
| license | BSD 3-Clause License Copyright (c) 2018-2022, Biotechnologie und Biophysik - Universität Würzburg All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Locan makes use of libraries and code that are compatibly licensed as listed in the licences directory. |
| keywords |
fluorescence
super-resolution
single-molecule localization microscopy
smlm
storm
dstorm
palm
paint
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
 Welcome to Locan
==================================================
[](https://doi.org/10.5281/zenodo.5722472)
[](https://pypi.org/project/locan/)
[](https://anaconda.org/conda-forge/locan)
[](https://www.python.org/)
[](https://github.com/super-resolution/Locan)
[](https://github.com/super-resolution/Locan/commits/main)
[](https://github.com/psf/black)
[](https://github.com/super-resolution/Locan/actions/workflows/Test_matrix_pip.yml)
[](https://codecov.io/gh/super-resolution/Locan)
[](https://locan.readthedocs.io/en/latest/?badge=latest)
Locan is a python-based library with code for analyzing fluorescence super-resolution
microscopy data.
Getting Started
----------------
To install the package please read the [instructions](https://locan.readthedocs.io/en/latest/source/installation.html) or:
pip install locan
or:
conda install -c conda-forge locan
For details on usage and development please read the [documentation](https://locan.readthedocs.io).
[Tutorials](https://locan.readthedocs.io/en/latest/tutorials/tutorials.html) are provided as Jupyter notebooks.
You can use the package in a docker container as described in [docker/README.md](docker/README.md).
Contributing
------------
Development takes place on the [Locan GitHub page](https://github.com/super-resolution/Locan).
Please use [GitHub issues](https://github.com/super-resolution/Locan/issues) to report bugs and feature requests.
Use [GitHub discussions](https://github.com/super-resolution/Locan/discussions) for Q&A.
Please read [documentation on development](https://locan.readthedocs.io/en/latest/source/development.html) for details on how to help develop this project further.
Developers
----------
See the list of [contributors](https://locan.readthedocs.io/en/latest/source/contributions.html) who participated in this project.
License
-------
This project is licensed under the BSD-3 License - see the [LICENSE](LICENSE.md) file for details.
Citing
-------
If you want to acknowledge locan please cite the following publication:
Sören Doose, LOCAN: a python library for analyzing single-molecule localization microscopy data, Bioinformatics 38(9), 2670–2672, 2022,
https://doi.org/10.1093/bioinformatics/btac160
Or cite this repository using the DOI provided by zenodo:
[doi.org/10.5281/zenodo.5722472](https://doi.org/10.5281/zenodo.5722472)
Note this DOI will resolve to all versions of locan.
To cite a specific version please find the DOI of that version on the zenodo page.
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