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, in press.
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Super resolution microscopy such as STORM and (F)PALM is now well known method for biological study at the nanometer scale. However, conventional imaging scheme based on sparse activation of photo-switchable fluorescent probes has 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 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 faster run time 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.