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Fast, single-molecule localization that achieves theoretically minimum uncertainty.

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.

SUBMITTER: Smith CS

PROVIDER: S-EPMC2862147 | biostudies-other | 2010 May

REPOSITORIES: biostudies-other

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Fast, single-molecule localization that achieves theoretically minimum uncertainty.

Smith Carlas S CS Joseph Nikolai N Rieger Bernd B Lidke Keith A KA

Nature methods 20100404 5

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 appli ...[more]

PMID: 20364146

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