Wolf Matthias, DeRosier David J, Grigorieff Nikolaus
Rosenstiel Basic Medical Sciences Research Center, Brandeis University, 415 South Street, Waltham, MA 02454, USA.
Ultramicroscopy. 2006 Mar;106(4-5):376-82. doi: 10.1016/j.ultramic.2005.11.001. Epub 2005 Dec 9.
Most algorithms for three-dimensional (3D) reconstruction from electron micrographs assume that images correspond to projections of the 3D structure. This approximation limits the attainable resolution of the reconstruction when the dimensions of the structure exceed the depth of field of the microscope. We have developed two methods to calculate a reconstruction that corrects for the depth of field. Either method applied to synthetic data representing a large virus yields a higher resolution reconstruction than a method lacking this correction.
大多数用于从电子显微照片进行三维(3D)重建的算法都假定图像对应于3D结构的投影。当结构的尺寸超过显微镜的景深时,这种近似会限制重建可达到的分辨率。我们已经开发了两种方法来计算校正景深的重建结果。将这两种方法中的任何一种应用于代表大型病毒的合成数据时,都能比未进行这种校正的方法产生更高分辨率的重建结果。