en fr Retrieving the parameters of cryo Electron Microscopy dataset in the heterogeneous ab-initio case Estimation de paramètres pour la reconstruction tomographique dobjets déformable en cryo-microscopie électronique à partiReport as inadecuate




en fr Retrieving the parameters of cryo Electron Microscopy dataset in the heterogeneous ab-initio case Estimation de paramètres pour la reconstruction tomographique dobjets déformable en cryo-microscopie électronique à parti - Download this document for free, or read online. Document in PDF available to download.

1 ICube - Laboratoire des sciences de l-ingénieur, de l-informatique et de l-imagerie

Abstract : A cryo Electron Microscopy dataset is composed on tomo-graphic projections of an object e.g. a macromolecule. The projection orientation information is unknown. The scope of this paper is the projection parameterization in the case of a deformable object. An overview of the parametrization methods is presented. Then a new approach based on manifold learning is detailed. Finally, an evaluation method for each substep of the parameterization is proposed. The resulting evaluation of the different methods on a 2D synthetic database shows the efficiency of our approach.

Keywords : tomography cryo EM heterogeneous set parametrization manifold learning





Author: Yves Michels - Etienne Baudrier -

Source: https://hal.archives-ouvertes.fr/



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