A Fourier-based global denoising model for the smart removal of artifacts in microscopy images
A global denoising model (GDM) to smartly remove artifacts from microscopy images while preserving weaker but physically important features is proposed and the tuning effect between two imaging input channels on the trade-off performance between artifact removal and feature preservation is showcased.