Noise2Void
Noise2Void 2D is deep-learning method that can be used to denoise 2D microscopy images. With DL4Mic you can train your own network and denoise your images.
Disclaimer:
DL4Mic (c) INSERM 2020, written by Volker Baecker.
This code has been adapted from the Zero-Cost Deep-Learning to Enhance Microscopy project. Jointly developed by the Jacquemet and Henriques laboratories. It is largely based on the paper: Noise2Void - Learning Denoising from Single Noisy Images, Alexander Krull, Tim-Oliver Buchholz, Florian Jug and source code found in: https://github.com/juglab/n2v Please also cite this original paper when using or developing this code.
