分辨率(逻辑)
显微镜
图像分辨率
光学
超分辨显微术
光学(聚焦)
度量(数据仓库)
计算机科学
图像(数学)
物理
人工智能
计算机视觉
扫描共焦电子显微镜
数据挖掘
作者
Robert P. J. Nieuwenhuizen,Keith A. Lidke,Mark Bates,Daniela Leyton Puig,David Grünwald,Sjoerd Stallinga,Bernd Rieger
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2013-04-26
卷期号:10 (6): 557-562
被引量:801
摘要
Resolution in optical nanoscopy (or super-resolution microscopy) depends on the localization uncertainty and density of single fluorescent labels and on the sample's spatial structure. Currently there is no integral, practical resolution measure that accounts for all factors. We introduce a measure based on Fourier ring correlation (FRC) that can be computed directly from an image. We demonstrate its validity and benefits on two-dimensional (2D) and 3D localization microscopy images of tubulin and actin filaments. Our FRC resolution method makes it possible to compare achieved resolutions in images taken with different nanoscopy methods, to optimize and rank different emitter localization and labeling strategies, to define a stopping criterion for data acquisition, to describe image anisotropy and heterogeneity, and even to estimate the average number of localizations per emitter. Our findings challenge the current focus on obtaining the best localization precision, showing instead how the best image resolution can be achieved as fast as possible.
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