Documentation
CAREamics is a library aimed at simplifying the use of state of the art image restoration deep-learning algorithms, from well-established algorithms (CARE, Noise2Void) to cutting-edge methods (MicroSplit).
Documentation for version v0.1.0.
Getting Started
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Installation
Get started with CAREamics installation.
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Features
What you can do with CAREamics.
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Guides
In-depth guides on CAREamics usage and features.
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Applications
Examples of CAREamics in action on various datasets.
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Algorithms
Dive into the various CAREamics algorithms.
(Soon)
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API Reference
Code documentation for CAREamics.
Feedback
If you are having trouble using the library or the napari plugin, contact us via the Image.sc forum.
We are always welcoming feedback on what to improve of what features could be useful, therefore do not hesitate to open an issue on the Github repository!