2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDSS-CIMM.3
Paper Title CRYO-ELECTRON MICROSCOPY IMAGE DENOISING USING MULTI-FREQUENCY VECTOR DIFFUSION MAPS
Authors Yifeng Fan, Zhizhen Zhao, University of Illinois at Urbana-Champaign, United States
SessionSS-CIMM: Special Session: Computational Imaging for Materials and Microscopy
LocationArea B
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Special Sessions: Computational Imaging for Materials and Microscopy
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Cryo-electron microscopy (EM) single particle reconstruction is a general technique for 3D structure determination of macromolecules. However, because the images are taken at low electron dose, it is extremely hard to visualize the individual particle with low contrast and high noise level. In this paper, we propose a novel framework for cryo-EM single particle image denoising, which incorporates the recently developed multi-frequency vector diffusion maps for improving the identification and alignment of images with similar viewing directions. In addition, we propose a novel filtering scheme combining graph signal processing and truncated Fourier-Bessel expansion of the projection images. Through both simulated and publicly available real data, we demonstrate that our proposed method is efficient and robust to noise compared with the state-of-the-art cryo-EM 2D class averaging algorithms.