Sorzano C O S, Velázquez-Muriel J A, Marabini R, Herman G T, Carazo J M
Unidad de Biocomputación, Centro Nacional de Biotecnología (CSIC), Campus Universidad Autónoma s/n, 28049 Cantoblanco, Madrid, Spain.
Pattern Recognit. 2008 Feb;41(2):616. doi: 10.1016/j.patcog.2007.06.010.
3D electron microsscopy aims at the reconstruction of density volumes corresponding to the electrostatic potential distribution of macro-molecules. There are many factors limiting the resolution achievable when this technique is applied to biological macromolecules: microscope imperfections, molecule flexibility, lack of projections from certain directions, unknown angular distribution, noise, etc. In this communication we explore the quality gain in the reconstruction by including a priori knowledge such as particle symmetry, occupied volume, known surface relief, density nonnegativity and similarity to a known volume in order to improve the quality of the reconstruction. If the reconstruction is represented as a series expansion, such constraints can be expressed by set of equations that the expansion coefficients must satisfy. In this work, these equation sets are specified and combined in a novel way with the ART + blobs reconstruction algorithm. The effect of each one on the reconstruction of a realistic phantom is explored. Finally, the application of these restrictions to 3D reconstructions from experimental data are studied.
三维电子显微镜旨在重建与大分子静电势分布相对应的密度体积。当将该技术应用于生物大分子时,有许多因素限制可实现的分辨率:显微镜缺陷、分子灵活性、某些方向投影缺失、未知角度分布、噪声等。在本通讯中,我们通过纳入诸如粒子对称性、占据体积、已知表面起伏、密度非负性以及与已知体积的相似性等先验知识来探索重建中的质量提升,以提高重建质量。如果将重建表示为级数展开,此类约束可由展开系数必须满足的方程组来表示。在这项工作中,这些方程组以一种新颖的方式被指定并与ART + 斑点重建算法相结合。探讨了每一个因素对逼真模型重建的影响。最后,研究了这些限制条件在从实验数据进行三维重建中的应用。