loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hmida Rojbani 1 ; Étienne Baudrier 2 ; Benoît Naegel 2 ; Loïc Mazo 2 and Atef Hamouda 3

Affiliations: 1 University of Strasbourg and University El-Manar, France ; 2 University of Strasbourg, France ; 3 University El-Manar, Tunisia

ISBN: 978-989-758-175-5

Keyword(s): Electron Tomography, 3D Structures, Tilt Angles, Angular Uncertainty, Optimization, Conjugate Gradient.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Medical Image Applications

Abstract: In the field of cryo-electron tomography (cryo-ET), numerous approaches have been proposed to tackle the difficulties of the three-dimensional reconstruction problem. And that, in order to cope with (1) the missing and noisy data from the collected projections, (2) errors in projection images due to acquisition problems, (3) the capacity of processing large data sets and parameterizing the contrast function of the electron microscopy. In this paper, we present a novel approach for dealing with angular uncertainty in cryo-ET. To accomplish this task we propose a cost function and with the use of the nonlinear version of the optimization algorithm called Conjugate Gradient, we minimize it. We test the efficiency of our algorithm with both simulated and real data.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.53.231

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rojbani, H.; Baudrier, É.; Naegel, B.; Mazo, L. and Hamouda, A. (2016). Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography.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 94-100. DOI: 10.5220/0005680600940100

@conference{visapp16,
author={Hmida Rojbani. and Étienne Baudrier. and Benoît Naegel. and Loïc Mazo. and Atef Hamouda.},
title={Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography},
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={94-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005680600940100},
isbn={978-989-758-175-5},
}

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 - Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography
SN - 978-989-758-175-5
AU - Rojbani, H.
AU - Baudrier, É.
AU - Naegel, B.
AU - Mazo, L.
AU - Hamouda, A.
PY - 2016
SP - 94
EP - 100
DO - 10.5220/0005680600940100

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.