VAR a New Metric of Cryo-electron Tomography Resolution

Hmida Rojbani, Atef Hamouda

2016

Abstract

Motivate by reaching a better understanding of the biological cells, scientists use the Transmission Electron Microscope (TEM) to investigate their inner structures. The cryo-electron tomography (cryo-ET) offers the possibility to reconstruct 3D structure reconstruction of a cell slice, that by tilting it according different angles. The resolution limits is the biggest challenge in the cryo-ET. The two phases involved in increasing the resolution are the acquisition phase and the reconstruction phase. In this work, we focus in the last one, as the biologists treat the acquisition phase within the phase of acquisition itself. The resolution of reconstruction depends on many factors such as: (1) the noisy and missing information from the collected projections data, (2) the capacity of processing large data sets, (3) the parametrization of the contrast function of the microscope, (4) errors of the tilt angles used in projections. In this paper, we presented a new method to evaluate the resolution of a reconstruction algorithm. Then the proposed method is used to show the relation between errors of the tilt angles used in projection and the degradation of the resolution. The resolution evaluation tests are made with different reconstruction methods (analytic and algebraic) applied on synthetic and real data.

Paper Citation

in Harvard Style

Rojbani H. and Hamouda A. (2016). VAR a New Metric of Cryo-electron Tomography Resolution . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 154-159. DOI: 10.5220/0005725801540159

in Bibtex Style

@conference{visapp16,
author={Hmida Rojbani and Atef Hamouda},
title={VAR a New Metric of Cryo-electron Tomography Resolution},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={154-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005725801540159},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - VAR a New Metric of Cryo-electron Tomography Resolution
SN - 978-989-758-175-5
AU - Rojbani H.
AU - Hamouda A.
PY - 2016
SP - 154
EP - 159
DO - 10.5220/0005725801540159