Superresolution Localization Methods

被引:28
作者
Small, Alexander R. [1 ]
Parthasarathy, Raghuveer [2 ]
机构
[1] Calif State Polytech Univ Pomona, Dept Phys & Astron, Pomona, CA 91768 USA
[2] Univ Oregon, Dept Phys, Eugene, OR 97403 USA
来源
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, VOL 65 | 2014年 / 65卷
基金
美国国家科学基金会;
关键词
fluorescence microscopy; image processing; PALM; STORM; photoswitchable molecules; blinking microscopy; maximum likelihood estimation; Cramer-Rao lower bound; point spread function; SINGLE-MOLECULE LOCALIZATION; HIGH-DENSITY LOCALIZATION; PARTICLE-TRACKING; FLUORESCENCE NANOSCOPY; ORIENTATION ESTIMATION; DIFFRACTION-LIMIT; MICROSCOPY; ACCURATE; ALGORITHM; POSITION;
D O I
10.1146/annurev-physchem-040513-103735
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Superresolution localization microscopy methods produce nanoscale images via a combination of intermittently active fluorescent probes and algorithms that can precisely determine the positions of these probes from single-molecule or few-molecule images. These algorithms vary widely in their underlying principles, complexity, and accuracy. In this review, we begin by surveying the principles of localization microscopy and describing the fundamental limits to localization precision. We then examine several different families of fluorophore localization algorithms, comparing their complexity, performance, and range of applicability (e.g., whether they require particular types of experimental information, are optimized for specific situations, or are more general). Whereas our focus is on the localization of single isotropic emitters in two dimensions, we also consider oriented dipoles, three-dimensional localization, and algorithms that can handle overlapping images of several nearby fluorophores. Throughout the review, we try to highlight practical advice for users of fluorophore localization algorithms, as well as open questions.
引用
收藏
页码:107 / 125
页数:19
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