The facility provides access to proprietary analysis software, open source software and tools developed in house. We also provide access to deep-learning solutions including the training on your own data on our machines.

proprietary     open-source     deep-learning     tools


n2v zoom

Noise2Void is a deep-learning method that can be used to denoise microscopy images. No specific training datasets are required, only your noisy images. One noisy image is sufficient to train a network. Use dl4mic to train and apply the Noise2Void.


From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organize, analyze and share your data from anywhere you have internet access.