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@article{2276179,
author = {Herreros, David and Kiska, Jakub and RamírezandAportela, Erney and Filipovič, Jiří and Carazo, José María and Sorzano, Carlos Oscar},
article_number = {9},
doi = {http://dx.doi.org/10.1016/j.jmb.2023.168088},
keywords = {Cryo-Electron Microscopy (CryoEM); spherical harmonics; Zernike polynomials; map reconstruction; Zernike3D-based Algebraic Reconstruction Technique (ZART)},
language = {eng},
issn = {0022-2836},
journal = {Journal of Molecular Biology},
title = {ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis},
url = {https://www.sciencedirect.com/science/article/pii/S002228362300150X?via%3Dihub},
volume = {435},
year = {2023}
}
TY - JOUR
ID - 2276179
AU - Herreros, David - Kiska, Jakub - Ramírez-Aportela, Erney - Filipovič, Jiří - Carazo, José María - Sorzano, Carlos Oscar
PY - 2023
TI - ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis
JF - Journal of Molecular Biology
VL - 435
IS - 9
SP - 1-14
EP - 1-14
PB - Elsevier
SN - 00222836
KW - Cryo-Electron Microscopy (CryoEM)
KW - spherical harmonics
KW - Zernike polynomials
KW - map reconstruction
KW - Zernike3D-based Algebraic Reconstruction Technique (ZART)
UR - https://www.sciencedirect.com/science/article/pii/S002228362300150X?via%3Dihub
N2 - One of the main purposes of CryoEM Single Particle Analysis is to reconstruct the three-dimensional structure of a macromolecule thanks to the acquisition of many particle images representing different poses of the sample. By estimating the orientation of each projected particle, it is possible to recover the underlying 3D volume by multiple 3D reconstruction methods, usually working either in Fourier or in real space. However, the reconstruction from the projected images works under the assumption that all particles in the dataset correspond to the same conformation of the macromolecule. Although this requisite holds for some macromolecules, it is not true for flexible specimens, leading to motion-induced artefacts in the reconstructed CryoEM maps. In this work, we introduce a new Algebraic Reconstruction Technique called ZART, which is able to include continuous flexibility information during the reconstruction process to improve local resolution and reduce motion blurring. The conformational changes are modelled through Zernike3D polynomials. Our implementation allows for a multiresolution description of the macromolecule adapting itself to the local resolution of the reconstructed map. In addition, ZART has also proven to be a useful algorithm in cases where flexibility is not so dominant, as it improves the overall aspect of the reconstructed maps by improving their local and global resolution.
ER -
HERREROS, David, Jakub KISKA, Erney RAMÍREZ-APORTELA, Jiří FILIPOVIČ, José María CARAZO and Carlos Oscar SORZANO. ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis. \textit{Journal of Molecular Biology}. Elsevier, 2023, vol.~435, No~9, p.~1-14. ISSN~0022-2836. Available from: https://dx.doi.org/10.1016/j.jmb.2023.168088.
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