Skip to main content

Read, Modify and Create new shape files for the Leica LMD6 & LMD7

Project description

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 under https://mannlabs.github.io/py-lmd/html/index.html.

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.

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

py_lmd-1.5.0.tar.gz (38.0 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-1.5.0-py3-none-any.whl (33.2 kB view details)

Uploaded Python 3

File details

Details for the file py_lmd-1.5.0.tar.gz.

File metadata

  • Download URL: py_lmd-1.5.0.tar.gz
  • Upload date:
  • Size: 38.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for py_lmd-1.5.0.tar.gz
Algorithm Hash digest
SHA256 3905ca995b77fbe81d7cdb7adce8b2b5a3278f599e6a4ca97a8fcf1ddc55ea89
MD5 180c54c7cff9060aa7e440e84d90983b
BLAKE2b-256 904387e460acb2692c622a998b616c3190537c41ccf7e09aeeec98dccebfbefd

See more details on using hashes here.

File details

Details for the file py_lmd-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: py_lmd-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 33.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for py_lmd-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 022f6d8699f655c95f8789b1f49132842acb1af18bac76616d6520f06bf3f7b4
MD5 5dbebe4bd82018adcc814c591a7971e2
BLAKE2b-256 7ab404d43eee84ffa09fe6e58e4376dfe354408ff88288e669c5a1e2c0d41d45

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 Pingdom Monitoring Sentry Error logging StatusPage Status page