Leonardo: a toolset to remove sample-induced aberrations in light sheet microscopy images
Leonardo is a toolbox able to resolve all sample-induced aberrations in selective plane illumination microscopy (SPIM, also called light-sheet fluorescence microscopy, LSFM) by using two major modules: (1) DeStripe removes the stripe artifacts caused by light absorption; (2) Fuse reconstructs one single high-quality image from dual-sided illumination and/or dual-sided detection while eliminating optical distortions (ghosts) caused by light refraction.
Tutorials:
For a quick start, you can walk through our tutorials and example notebooks. You can easily run it on Google Colab by clicking on the badge.
Installation:
Note: Requires Python 3.10 or newer.
Stable Release: pip install leonardo_toolset
Development Head: pip install git+https://github.com/peng-lab/leonardo_toolset.git
Napari plugins can be installed separately:
- Fusion plugin:
pip install lsfm_fusion_napari - Destripe plugin:
pip install lsfm_destripe_napari
Development:
See CONTRIBUTING.md for information related to developing the code.
Issues:
If you encounter any problems, please file an issue along with a detailed description.
MIT license
1 maintainer
Metadata
1 maintainer
Release files for leonardo-toolset 1.1.1
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