Retrieving the parameters of cryo Electron Microscopy dataset in the heterogeneous ab-initio case

Estimation de paramètres pour la reconstruction tomographique d'objets déformable en cryo-microscopie électronique à particules isolées

Yves Michels (1) , Etienne Baudrier (1)

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

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.

Mots clés: tomography; cryo EM; heterogeneous set; parametrization; manifold learning

Domaines: Traitement du signal et de l'image [eess.SP]

Yves Michels, Etienne Baudrier. Retrieving the parameters of cryo Electron Microscopy dataset in the heterogeneous ab-initio case. ICIP 2016, Sep 2016, Phoenix, United States. ⟨10.1109/ICIP.2016.7532948⟩. ⟨hal-01362021⟩