Image Reconstruction with Missing Wedge Correction in Electron Tomography

Abstract

Electron Tomography (ET) is a technique that makes possible to obtain 3D reconstructions of organic and inorganic materials from Transmission Electron Microscope (TEM) images. However, physical limitations in the acquisition system leave a blind region, better known as the missing wedge, which causes anisotropic resolution and artifacts in the reconstructed tomograms. In this work, the effects of the missing wedge were studied and different methods were proposed in order to correct them. In addition, we propose an iterative reconstruction method with missing wedge correction for ET, improving results compared with traditional reconstructions and reducing the effects due to the missing wedge. The use of an adaptive lter for regularization during reconstruction does not rely on a priori assumptions, making it appropriate for reconstructing TEM tomograms, where the complexity of biological specimens makes it di cult to use strong constraints and a priori information to improve reconstructions. The proposed method outperformed traditional reconstructions such as Filtered Back-Projection and was able to obtain a reconstruction where the artifacts caused by the missing wedge were not detected. The high pressence of noise in real TEM data leads to future work in denoising of projections to improve the reconstruction performance. /Kir11