Poster Presentation 2014 International Biophysics Congress

High-density 3D single molecular analysis based on compressed sensing (#537)

Lusheng Gu 1 2 , Yi Sheng 1 2 , Wei Ji 2 , Tao Xu 2
  1. College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
  2. Institute of Biophysics, CAS, Beijing, China

Single molecule fitting (SMF)-based super-resolution microscopy achieves sub-diffraction-limit image resolution but suffers from a need for long acquisition times to gather enough molecules. Several methods have recently been developed that analyze high molecule density images but most are only applicable to two dimensions (2D). In this study, we implemented a high-density super-resolution localization algorithm based on compressed sensing and a biplane approach that provides three-dimensional (3D) information about molecules, achieving super-resolution imaging at higher molecule densities than those achieved using the conventional SMF method.