Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging

A quantitative characterization of the switching properties of 26 organic dyes relates these properties to the quality of localization-based super-resolution images they generate. The data are a useful resource for selecting dyes and point to avenues for future analysis. One approach to super-resolu...

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Bibliographic Details
Published in:Nature methods Vol. 8; no. 12; pp. 1027 - 1036
Main Authors: Dempsey, Graham T, Vaughan, Joshua C, Chen, Kok Hao, Bates, Mark, Zhuang, Xiaowei
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01-12-2011
Nature Publishing Group
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Summary:A quantitative characterization of the switching properties of 26 organic dyes relates these properties to the quality of localization-based super-resolution images they generate. The data are a useful resource for selecting dyes and point to avenues for future analysis. One approach to super-resolution fluorescence imaging uses sequential activation and localization of individual fluorophores to achieve high spatial resolution. Essential to this technique is the choice of fluorescent probes; the properties of the probes, including photons per switching event, on-off duty cycle, photostability and number of switching cycles, largely dictate the quality of super-resolution images. Although many probes have been reported, a systematic characterization of the properties of these probes and their impact on super-resolution image quality has been described in only a few cases. Here we quantitatively characterized the switching properties of 26 organic dyes and directly related these properties to the quality of super-resolution images. This analysis provides guidelines for characterization of super-resolution probes and a resource for selecting probes based on performance. Our evaluation identified several photoswitchable dyes with good to excellent performance in four independent spectral ranges, with which we demonstrated low–cross-talk, four-color super-resolution imaging.
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These authors contributed equally to this work.
ISSN:1548-7091
1548-7105
DOI:10.1038/nmeth.1768