Skip to main content

GitHub Release Versions License Python package Docs PyPI version PyPI Downloads

logo

Read, create and write cutting data for the Leica LMD6 & LMD7 microscope. Build reproducible workflows to calibrate, import SVG files and convert single-cell segmentation masks.

Installation

The py-lmd library can be installed via pip. py-lmd has been tested with Python 3.9, 3.10, 3.11 and 3.12.

pip install py-lmd

Documentation

The current documentation can be found here.

Citing our Work

py-lmd was developed by Georg Wallmann, Sophia Mädler and Niklas Schmacke in the labs of Veit Hornung and Matthias Mann. If you use our code please cite the following manuscript:

SPARCS, a platform for genome-scale CRISPR screening for spatial cellular phenotypes Niklas Arndt Schmacke, Sophia Clara Maedler, Georg Wallmann, Andreas Metousis, Marleen Berouti, Hartmann Harz, Heinrich Leonhardt, Matthias Mann, Veit Hornung bioRxiv 2023.06.01.542416; doi: https://doi.org/10.1101/2023.06.01.542416

Contributing

If you like this software, consider giving us a star to boost our visibility! For detailed guidelines on how to contribute, please refer to our contributing guide.

We welcome all types of contributions! You can:

  • Post a new issue if you encounter a bug or have a feature request.
  • Clone the repository, create a new branch, and submit a pull request.

Download files

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

Source Distribution

py_lmd-1.6.0.tar.gz (39.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

py_lmd-1.6.0-py3-none-any.whl (38.8 kB view details)

Uploaded Python 3

File details

Details for the file py_lmd-1.6.0.tar.gz.

File metadata

  • Download URL: py_lmd-1.6.0.tar.gz
  • Upload date:
  • Size: 39.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for py_lmd-1.6.0.tar.gz
Algorithm Hash digest
SHA256 3f7baa84ba043a4fd5e9c7e9777afa6c38e24d3a1b067488fad14c8d33504dbe
MD5 1d46f1daa34c5b1229621032e4b230b3
BLAKE2b-256 7195f0c4d417793b11dfc4d210019152ee09b948e0cd98b3d7633ccac3e037ac

See more details on using hashes here.

File details

Details for the file py_lmd-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: py_lmd-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 38.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for py_lmd-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f9acf35894eadbcf5502f18298ff6561874af0548faa2e1de3ea8bc7e1f3da38
MD5 57f6519aff27a97ca620eab8e4a18f29
BLAKE2b-256 4ba9bcf18519a31ca7494d9b4f10df5b3a8f14bdea719a53cd54977f8a1134e2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page