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FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data.

  • Min J Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
  • Vonesch C 1] Institute of Microengineering, EPFL, Switzerland [2].
  • Kirshner H 1] Institute of Microengineering, EPFL, Switzerland [2].
  • Carlini L 1] Institute of the Physics of Biological Systems, EPFL, Switzerland [2].
  • Olivier N 1] Institute of the Physics of Biological Systems, EPFL, Switzerland [2] Department of Physics, King's College London, UK.
  • Holden S Institute of the Physics of Biological Systems, EPFL, Switzerland.
  • Manley S Institute of the Physics of Biological Systems, EPFL, Switzerland.
  • Ye JC Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
  • Unser M Institute of Microengineering, EPFL, Switzerland.
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  • 2014-04-04
Published in:
  • Scientific reports. - 2014
Algorithms
Animals
COS Cells
Carbocyanines
Cell Line
Chlorocebus aethiops
Endoplasmic Reticulum
Fluorescent Dyes
Humans
Microscopy, Fluorescence
Microtubules
Signal-To-Noise Ratio
English Super resolution microscopy such as STORM and (F)PALM is now a well known method for biological studies at the nanometer scale. However, conventional imaging schemes based on sparse activation of photo-switchable fluorescent probes have inherently slow temporal resolution which is a serious limitation when investigating live-cell dynamics. Here, we present an algorithm for high-density super-resolution microscopy which combines a sparsity-promoting formulation with a Taylor series approximation of the PSF. Our algorithm is designed to provide unbiased localization on continuous space and high recall rates for high-density imaging, and to have orders-of-magnitude shorter run times compared to previous high-density algorithms. We validated our algorithm on both simulated and experimental data, and demonstrated live-cell imaging with temporal resolution of 2.5 seconds by recovering fast ER dynamics.
Language
  • English
Open access status
gold
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Persistent URL
https://roar.hep-bejune.ch/global/documents/155953
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