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

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.

DOI: 10.1038/srep04577

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@inproceedings{Min2014FALCONFA, title={FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data}, author={Junhong Min and C{\'e}dric Vonesch and Hagai Kirshner and Lina Carlini and Nicolas Olivier and Seamus J. Holden and Suliana Manley and Jong Chul Ye and Michael Unser}, booktitle={Scientific reports}, year={2014} }