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Multiresolution MAPEM method for 3D reconstruction of symmetrical particles with electron microscopy

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Details

Original languageEnglish
Title of host publicationEMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
PublisherSpringer Verlag
Pages141-144
Number of pages4
ISBN (Print)9789811051210
DOIs
Publication statusPublished - 2018
Publication typeA4 Article in a conference publication
EventJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) -
Duration: 1 Jan 1900 → …

Publication series

NameIFMBE Proceedings
Volume65
ISSN (Print)1680-0737

Conference

ConferenceJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
Period1/01/00 → …

Abstract

The resolution and accuracy of the 3D images obtained with single particle reconstruction (SPR) highly depend on the number and signal to noise ratio of the particle images. The maximum a posteriori probability expectation maximization (MAPEM) reconstruction methods have been successful in suppressing noise and compensating for the limited angular sampling. This paper presents a multiresolution MAPEM (mMAPEM) method to improve the resolution and accuracy of the 3D images of the symmetrical particles reconstructed using SPR. The method utilizes the median root prior and the symmetry information about the reconstructed structure in the image domain. The method was compared with the conventional Fourier Reconstruction (FR) method using phantom and experimental datasets for different noise levels and projection angle sampling conditions. The numerical and visual assessment of the reconstruction results demonstrate that the mMAPEM method provides more accurate results than FR.

ASJC Scopus subject areas

Keywords

  • Electron microscopy, HEV, Multiresolution MAPEM reconstruction, Single particle reconstruction

Publication forum classification

Field of science, Statistics Finland