Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography

Hmida Rojbani, Étienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda

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.

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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


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 - 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