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

Junhong Min, Cedric Vonesch, Hagai Kirshner, Lina Carlini, Nicolas Olivier, Seamus Holden, Suliana Manley, Jong Chul Ye, Michael Unser*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

127 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number4577
Number of pages9
JournalScientific Reports
Volume4
DOIs
Publication statusPublished - 3 Apr 2014

Keywords

  • LOCALIZATION MICROSCOPY
  • LIVE CELLS
  • STORM
  • RESOLUTION
  • NANOSCOPY

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