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Image denoising - Golgi apparatus

Updated: Dec 6, 2022

This model removes image noise and enhances image signal for volumetric fluorescence microscopy images. This model is trained using the 3D-RCAN architecture, developed in-house (read about it on BioRxiv [1]).

The model is trained on 3D volumetric images of Golgi apparatus captured at 60x on an instant structured illumination microscopy (iSIM) system.


By downloading, installing, copying, accessing, or using the software, you agree to the terms of this end user license agreement.


Make sure you have Python versions 3.5 to 3.7 installed with TensorFlow-GPU version 1.13.0 and above.

Installation and apply instructions