CatalogAbout
DL4MicEverywhere Album solutions
Cutting-edge deep learning techniques for bioimage analysis
DL4MicEverywhere / deconoising-2d-zerocostdl4mic / 1.14.1

deconoising-2d-zerocostdl4mic implementation.

Self-supervised denoising of 2D images. DecoNoising 2D is deep-learning method that can be used to denoise 2D microscopy images. By running this notebook, you can train your own network and denoise your images. Note - visit the ZeroCostDL4Mic wiki to check the original publications this network is based on and make sure you cite these.
Tags
AMD64colabnotebookdenoisingZeroCostDL4Mic2D
Citation
https://doi.org/10.1038/s41467-021-22518-0von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull. Improving Blind Spot Denoising for Microscopy. arXiv:2008.08414https://arxiv.org/abs/2008.08414
Solution written by
DL4MicEverywhere team
album team

Arguments

--path
What is your working path? (default value: .)

Usage instructions

Please follow this link for details on how to install and run this solution.