title: Faster STORM using compressed sensing.
abstract: In super-resolution microscopy methods based on single-molecule switching, the rate of accumulating single-molecule activation events often limits the time resolution. Here we developed a sparse-signal recovery technique using compressed sensing to analyze images with highly overlapping fluorescent spots. This method allows an activated fluorophore density an order of magnitude higher than what conventional single-molecule fitting methods can handle. Using this method, we demonstrated imaging microtubule dynamics in living cells with a time resolution of 3 s.
authors.affiliation: Nuclear and Radiological Engineering Program, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA. leizhu@gatech.edu
authors.forename: Lei
authors.initials: L
authors.lastname: Zhu
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.forename: Daniel
authors.initials: D
authors.lastname: Elnatan
authors.forename: Bo
authors.initials: B
authors.lastname: Huang
mesh_terms: D000818:Animals; D002478:Cells, Cultured; D004331:Drosophila melanogaster / Q000648:ultrastructure; D005456:Fluorescent Dyes; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000295:instrumentation / Q000379:methods*; D008870:Microtubules / Q000648:ultrastructure
chemical_list: D005456:Fluorescent Dyes