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Rapidly Varying Flow01:24

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Related Experiment Video

Updated: May 23, 2026

Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

Faster STORM using compressed sensing.

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

Nature Methods
|April 24, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a compressed sensing technique to improve super-resolution microscopy. The method analyzes overlapping fluorescent spots, enabling faster imaging of cellular structures like microtubules.

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Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
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Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

Area of Science:

  • Biophysics
  • Cell Biology
  • Microscopy

Background:

  • Super-resolution microscopy relies on single-molecule switching.
  • Limited time resolution is a key challenge due to slow accumulation of activation events.

Purpose of the Study:

  • To develop a novel sparse-signal recovery technique for super-resolution microscopy.
  • To overcome the limitations of conventional methods in analyzing high-density single-molecule signals.

Main Methods:

  • Utilized compressed sensing for sparse-signal recovery.
  • Applied the technique to analyze images with highly overlapping fluorescent spots.
  • Developed a method to handle an order of magnitude higher activated fluorophore density.

Main Results:

  • Achieved significantly higher activated fluorophore density analysis.
  • Enabled imaging of microtubule dynamics in living cells.
  • Demonstrated a time resolution of 3 seconds for cellular imaging.

Conclusions:

  • The developed compressed sensing method enhances super-resolution microscopy capabilities.
  • This technique offers improved time resolution for observing dynamic cellular processes.
  • Provides a new tool for studying fast biological events at the nanoscale.