Skip to main content

Analysis software for single-molecule localization microscopy

Project description

logo Welcome to Locan

DOI PyPI Conda (channel only) PyPI - Python Version GitHub release (latest by date) GitHub last commit Code style: black Tests codecov Documentation Status

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 or:

pip install locan

or:

conda install -c conda-forge locan

For details on usage and development please read the documentation.

Tutorials are provided as Jupyter notebooks.

You can use the package in a docker container as described in docker/README.md.

Contributing

Development takes place on the Locan GitHub page.

Please use GitHub issues to report bugs and feature requests. Use GitHub discussions for Q&A.

Please read documentation on development for details on how to help develop this project further.

Developers

See the list of contributors who participated in this project.

License

This project is licensed under the BSD-3 License - see the LICENSE 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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

locan-0.19.1.tar.gz (2.2 MB view details)

Uploaded Source

Built Distribution

locan-0.19.1-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file locan-0.19.1.tar.gz.

File metadata

  • Download URL: locan-0.19.1.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for locan-0.19.1.tar.gz
Algorithm Hash digest
SHA256 5c8266af9339b1a75f060312454572e006fa797cd8a95cd93df87a738995e7c8
MD5 24ebd2b95f8fbf706ed07cbc00984f26
BLAKE2b-256 08771397f9d1e3772e21efee6eb1341440ff72c0ad2bc747a8805745af89d62f

See more details on using hashes here.

File details

Details for the file locan-0.19.1-py3-none-any.whl.

File metadata

  • Download URL: locan-0.19.1-py3-none-any.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for locan-0.19.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dc722667f4729354e333a982a6ad27ad04dfbd9020710c8c9c01a41d64b77dc8
MD5 284666cfdf64db0a9166a2dff040d842
BLAKE2b-256 bc1e401e051fdb017fe97de65c425021c014eeb39a284f15648653c09c931185

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page