Denoising Noise2Void without clean data (2D SEM data)


The data was acquired by Réza Shahidi and Gáspár Jékely at University of Exeter and originates from this publication: Content-aware image restoration for electron microscopy by Tim-Oliver Buchholz et al.


The model was trained and the output predicted by using the train + predict command of Noise2Void in Fiji.


For demonstration purposes, the trained model was uploaded to the BioImage Model Zoo, you can download it here.

The downloaded model can be used for prediction via the predict command of Noise2Void in Fiji.


Training a U-Net with Noise2Void on a single noisy Scanning Electron Microscopy (SEM) image and denoising it.