RT Journal Article
SR Electronic
T1 Obtaining 3D Super-resolution Information from 2D Super-resolution Images through a 2D-to-3D Transformation Algorithm
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 188060
DO 10.1101/188060
A1 Andrew Ruba
A1 Wangxi Luo
A1 Joseph Kelich
A1 Weidong Yang
YR 2017
UL http://biorxiv.org/content/early/2017/10/11/188060.abstract
AB Currently, it is highly desirable but still challenging to obtain three-dimensional (3D) superresolution information of structures in fixed specimens as well as dynamic processes in live cells with a high spatiotemporal resolution. Here we introduce an approach, without using 3D superresolution microscopy or real-time 3D particle tracking, to achieve 3D sub-diffraction-limited information with a spatial resolution of ≤ 1 nm. This is a post-localization analysis that transforms 2D super-resolution images or 2D single-molecule localization distributions into their corresponding 3D spatial probability information. The method has been successfully applied to obtain structural and functional information for 25-300 nm sub-cellular organelles that have rotational symmetry. In this article, we will provide a comprehensive analysis of this method by using experimental data and computational simulations.