Faster STORM using compressed sensing
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Updated: May 23, 2026

Test Samples for Optimizing STORM Super-Resolution Microscopy
Published on: September 6, 2013
Lei Zhu1, Wei Zhang, Daniel Elnatan
1Nuclear and Radiological Engineering Program, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA. leizhu@gatech.edu
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.
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