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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.



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Requirements

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