Article

Fast, single-molecule localization that achieves theoretically minimum uncertainty

Department of Imaging Science and Technology, Delft University of Technology, The Netherlands.
Nature Methods (Impact Factor: 32.07). 04/2010; 7(5):373-5. DOI: 10.1038/nmeth.1449
Source: PubMed

ABSTRACT

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.

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    • "This robust algorithm allowed rapid and efficient localization of single molecule events (Smith et al., 2010; Huang et al., 2011). Fits were accepted if the fit precisions, given by square root of CRLB were less than 11 nm (Smith et al., 2010) and the data in the fitting regions were consistent with a single emitter model at a .01 level of significance (Huang et al., 2011). "
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    • "In [24] and [25] the fundamental limit of localization accuracy was introduced as the Cramér-Rao lower bound (CRLB) for the location estimation problem, in the context of ideal experimental conditions such as an infinite size photon detector without pixilation artefacts and without other extraneous noise sources. This measure has proved a reliable predictor for the best possible accuracy that can be achieved with a specific single molecule experiment [26], [27]. Due to the importance of registration in single molecule experiments the question therefore arises how the uncertainty introduced during the registration process influences the localization accuracy for a single molecule that has been registered. "
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