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.
Metadata
Release files for py-lmd 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| py_lmd-1.6.0.tar.gz | 39.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| py_lmd-1.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 78.3 kB
Release files / py_lmd-1.6.0.tar.gz
| Download URL | py_lmd-1.6.0.tar.gz |
|---|---|
| Size | 39.5 kB |
| Tags | Source |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / py_lmd-1.6.0-py3-none-any.whl
| Download URL | py_lmd-1.6.0-py3-none-any.whl |
|---|---|
| Size | 38.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|