2015Sorzano AtomsToVoxels

From 3DEM-Methods
Revision as of 15:26, 26 August 2016 by CoSS (talk | contribs) (Created page with "== Citation == C.O.S. Sorzano, J. Vargas, J. Otón, V. Abrishami, J.M. de la Rosa-Trevín, S. del Riego, A. Fernández-Alderete, C. Martínez-Rey, R. Marabini, J.M. Carazo. F...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Citation

C.O.S. Sorzano, J. Vargas, J. Otón, V. Abrishami, J.M. de la Rosa-Trevín, S. del Riego, A. Fernández-Alderete, C. Martínez-Rey, R. Marabini, J.M. Carazo. Fast and accurate conversion of atomic models into electron density maps. AIMS Biophysics, 2: 8-20 (2015)

Abstract

New image processing methodologies and algorithms have greatly contributed to the signi cant progress in three-dimensional electron microscopy (3DEM) of biological complexes we have seen over the last decades. Naturally, the availability of accurate procedures for the objective testing of new algorithms is a crucial requirement for the further advancement of the eld. A good and accepted testing work ow involves the generation of realistic 3DEM-like maps of biological macromolecules from which some measure of ground truth can be derived, ideally because their 3D atomic structure is already known. In this work we propose a very accurate generation of maps using atomic form factors for electron scattering. We thoroughly review current approaches in the eld, quantitatively demonstrating the bene ts of the new methodology. Additionally, we study a concrete example of the use of this approach for hypothesis testing in 3D Electron Microscopy.

Keywords

Links

http://www.aimspress.com/article/10.3934/biophy.2015.1.8

Related software

Related methods

Comments