CAREamics
A Python library for deep-learning image restoration and denoising, with CARE and Noise2Void algorithms under the BSD-3-Clause license.
CAREamics is a Python library for deep-learning restoration and denoising of scientific images. It brings methods such as CARE, Noise2Void and MicroSplit into a shared PyTorch environment, with a consistent API for researchers working across restoration methods.
The library runs in an installed Python environment and uses PyTorch Lightning as its backend. A napari plugin provides a visual interface for users who prefer to work within an image-analysis application. The documentation includes installation instructions, usage guides, dataset examples and an API reference.
CAREamics is available under the BSD-3-Clause license. Its restoration models support research workflows; their outputs should be checked against the source images and the requirements of the experiment.
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