leonardo-toolset 1.1.1

Leonardo: an LSFM image processing toolset

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