Self-supervised noise modeling and sparsity guided electron tomography volumetric image denoising

Zhidong Yang, Dawei Zang, Hongjia Li, Zhao Zhang, Fa Zhang, Renmin Han

Abstract: Highlights•A self-supervised cryo-ET volumetric image denoising model guided by noise modeling and sparsity is proposed.•A GAN-based cryo-ET noise modeling method is proposed to implicitly estimate the noise.•A novel loss function utilizing sparsity is devised to guarantee structure recovery and smoothness.

External IDs:doi:10.1016/j.ultramic.2023.113860