期刊
NATURE METHODS
卷 9, 期 7, 页码 724-U291出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.2071
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资金
- US National Science Foundation [0746038, 1006171]
- Direct For Mathematical & Physical Scien
- Division Of Materials Research [1006171] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Materials Research [0746038] Funding Source: National Science Foundation
I introduce an algorithm for subpixel localization of imaged objects based on an analytic, non-iterative calculation of the best-fit radial symmetry center. This approach yields tracking accuracies that are near theoretical limits, similarly to Gaussian fitting, but with orders-of-magnitude faster execution time, lower sensitivity to nearby particles and applicability to any radially symmetric intensity distribution. I demonstrate the method with several types of data, including super-resolution microscopy images.
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