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Fast maximum likelihood algorithm for localization of fluorescent molecules
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DOI：10.1364/OL.37.000413.png)
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A common task in microscopy is to fit an image of a fluorescent probe to a point spread function (PSF) in order to estimate the position of the probe. The PSF is often approximated as a Gaussian for mathematical simplicity. We show that the separable property of the Gaussian PSF enables a reduction of computational time from O(L-2) to O(L), where L is the width (in pixels) of the image. When tested on realistic simulated data, our algorithm is able to localize the probes with precision close to the Cramer-Rao lower bound. (C) 2012 Optical Society of America
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3.3
论文数:
4.0W
被引数:
7.6W
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Fast, bias-free algorithm for tracking single particles with variable size and shape.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Fast, single-molecule localization that achieves theoretically minimum uncertainty快速，单分子定位，实现理论上的最小不确定性NATURE METHODSOAAI
NATURE METHODSIF32.1
OAAI分享收藏Precise nanometer localization analysis for individual fluorescent probesBIOPHYSICAL JOURNAL
OAAI
BIOPHYSICAL JOURNALIF3.1
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