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Fluorophore localization algorithms for super-resolution microscopy

delete2014-02-27
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Small, Alex *
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Stahlheber, Shane
DOI:10.1038/NMETH.2844delete
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摘要

摘要

En 中文
Super-resolution localization microscopy methods provide powerful new capabilities for probing biology at the nanometer scale via fluorescence. These methods rely on two key innovations: switchable fluorophores (which blink on and off and can be sequentially imaged) and powerful localization algorithms (which estimate the positions of the fluorophores in the images). These techniques have spurred a flurry of innovation in algorithm development over the last several years. In this Review, we survey the fundamental issues for single-fluorophore fitting routines, localization algorithms based on principles other than fitting, three-dimensional imaging, dipole imaging and techniques for estimating fluorophore positions from images of multiple activated fluorophores. We offer practical advice for users and adopters of algorithms, and we identify areas for further development.
Keyword:
SINGLE-MOLECULE LOCALIZATION
POINT-SPREAD FUNCTION
OPTICAL RECONSTRUCTION MICROSCOPY
MULTIFOCAL PLANE MICROSCOPY
HIGH-DENSITY LOCALIZATION
FLUORESCENCE MICROSCOPY
PARTICLE-TRACKING
SCMOS CAMERA
ORIENTATION ESTIMATION
DIFFRACTION-LIMIT
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期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.2K
被引数:
12.7W

机构

California State University System 封面图
California State University System
学者数:
2.8W
论文数: 2.4W
被引数: 457
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