Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks

19 Apr 2019Soonam LeeShuo HanPaul SalamaKenneth W. DunnEdward J. Delp

Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy. Fluorescence microscopy image volumes inherently suffer from intensity inhomogeneity, blur, and are corrupted by various types of noise which exacerbate image quality at deeper tissue depth... (read more)

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