Fast, single-molecule localization that achieves theoretically minimum uncertainty.
We describe an iterative algorithm that converges to the maximum likelihood estimate of the position and intensity of a single fluorophore. Our technique efficiently computes and achieves the Cramér-Rao lower bound, an essential tool for parameter estimation. An implementation of the algorithm on graphics processing unit hardware achieved more than 10(5) combined fits and Cramér-Rao lower bound calculations per second, enabling real-time data analysis for super-resolution imaging and other applications.
Smith
Carlas S
CS
Department of Imaging Science and Technology, Delft University of Technology, The Netherlands.
Joseph
Nikolai
N
Rieger
Bernd
B
Lidke
Keith A
KA
D000465:Algorithms; D016013:Likelihood Functions; D008856:Microscopy, Fluorescence / Q000379:methods*; D015203:Reproducibility of Results; D012984:Software; D035501:Uncertainty