Noise2Void - Learning Denoising from Single Noisy Images
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Updated
Oct 25, 2021 - Python
Noise2Void - Learning Denoising from Single Noisy Images
Noise2Void self-supervised denoising applied to proprietary fluorescence microscopy data from INT Milan — training directly on single noisy images without clean targets.
Lightweight pipeline for preprocessing, segmentation, tracking, and analysis of fluorescence microscopy images.
DINO-SR self-supervised classifier for 4D-STEM diffraction: training, GUI, NL assistant (Ollama), NMF/ACOM/interpretation pipeline.
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