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Faster STORM using compressed sensing
DOI:10.1038/NMETH.1978.png)
Abstract
En 中文
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.
Keywords:
OPTICAL RECONSTRUCTION MICROSCOPY
LOCALIZATION MICROSCOPY
SUPERRESOLUTION MICROSCOPY
INFORMATION
RESOLUTION
DYNAMICS
CELLS
Journal
IF:
32.1
Papers:
7.2K
Citations:
12.7W
Organization
Cited Papers
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
NATURE METHODS
IF32.1
High-density localization of active molecules using Structured Sparse Model and Bayesian Information Criterion
OPTICS EXPRESS
IF3.3
Search for IMRT inverse plans with piecewise constant fluence maps using compressed sensing techniques
MEDICAL PHYSICS
IF3.2
Ultra-high resolution imaging by fluorescence photoactivation localization microscopy
BIOPHYSICAL JOURNAL
IF3.1
Whole-cell 3D STORM reveals interactions between cellular structures with nanometer-scale resolution
NATURE METHODS
IF32.1

