Journal
NATURE METHODS
Volume 7, Issue 5, Pages 373-U52Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1449
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Funding
- American Cancer Society [IRG-92-024]
- US National Institutes of Health [1P50GM085273-01A1]
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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 Cramer-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 Cramer-Rao lower bound calculations per second, enabling real-time data analysis for super-resolution imaging and other applications.
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