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FALCON: Fast and Unbiased Reconstruction of High-Density Super-Resolution Microscopy Data

J. Min, C. Vonesch, H. Kirshner, L. Carlini, N. Olivier, S. Holden, S. Manley, J.C. Ye, M. Unser

Scientific Reports, vol. 4, no. 4577, pp. 1-9, April 3, 2014.



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.

Supplementary material

  • Supplementary Note and Figures (PDF file) (1.07 Mb). This supplementary note contains the technical description and implementation details of the algorithm, along with a short survey of competing algorithms. The supplementary figures illustrate the supplementary note and the main text, too.
  • Superresolution movie of live-ER data (GIF file) (2.22 Mb). This movie extends Figure 8 of the main text.

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AUTHOR="Min, J. and Vonesch, C. and Kirshner, H. and  Carlini, L. and
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TITLE="{FALCON}: {F}ast and Unbiased Reconstruction of High-Density
        Super-Resolution Microscopy Data",
JOURNAL="Scientific Reports",
YEAR="2014",
volume="4",
number="4577",
pages="1--9",
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