Used CSBDeep tool: Noise2Void If you want to reconstruct this scenario or apply it to your own data, read this page and follow the instructions for Noise2Void (click on this box). Inspect exemplary result image

Denoising Noise2Void without clean data (2D SEM data)

Authorship

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.

Details

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

Demo

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.

Videos

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

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