In single-molecule (SM) super-resolution microscopy, the complexity of a biological structure, high molecular density, and a low signal-to-background ratio (SBR) may lead to imaging artifacts without a robust localization algorithm. Moreover, engineered point spread functions (PSFs) for 3D imaging pose difficulties due to their intricate features. We develop a Robust Statistical Estimation algorithm, called RoSE, that enables joint estimation of the 3D location and photon counts of SMs accurately and precisely using various PSFs under conditions of high molecular density and low SBR.
Hesam Mazidi, Arye Nehorai, and Matthew D. Lew, "A robust statistical estimation (RoSE) algorithm jointly recovers the 3D location and intensity of single molecules accurately and precisely," Proc. SPIE 10500, Single Molecule Spectroscopy and Superresolution Imaging XI, 105000E (Presented at SPIE BiOS: January 28, 2018; Published: 20 February 2018); https://doi.org/10.1117/12.2289994.
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