Quantitative Super-Resolution Imaging with qPAINT using Transient Binding Analysis

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Quantitative Super-Resolution Imaging with qPAINT using Transient Binding Analysis

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Title: Quantitative Super-Resolution Imaging with qPAINT using Transient Binding Analysis
Author: Jungmann, Ralf; Avendaño, Maier S; Dai, Mingjie; Woehrstein, Johannes B; Agasti, Sarit S; Feiger, Zachary; Rodal, Avital; Yin, Peng

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Citation: Jungmann, Ralf, Maier S Avendaño, Mingjie Dai, Johannes B Woehrstein, Sarit S Agasti, Zachary Feiger, Avital Rodal, and Peng Yin. 2016. “Quantitative Super-Resolution Imaging with qPAINT using Transient Binding Analysis.” Nature methods 13 (5): 439-442. doi:10.1038/nmeth.3804. http://dx.doi.org/10.1038/nmeth.3804.
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Abstract: Current super-resolution techniques offer unprecedented spatial resolution, but quantitative counting of spatially unresolvable molecules remains challenging. Here, we use the programmable and specific binding of dye-labeled DNA probes to count integer numbers of targets. This method, called quantitative Points Accumulation In Nanoscale Topography (qPAINT), avoids the challenging task of analyzing the environmentally sensitive hard-to-predict photophysics of dyes, and enables robust counting by analyzing the predictable binding kinetics of dye-labeled DNA probes. We benchmarked qPAINT in vitro and in situ by counting strands on DNA nanostructures, Nup98 protein clusters in the nuclear pore complex, Bruchpilot proteins in Drosophila, and finally the number of fluorescence in situ hybridization probes on single mRNA targets in fixed cells. We achieved high accuracy (~98–99 %), high precision (~80–95 %), and multiplexed detection over a large dynamic range.
Published Version: doi:10.1038/nmeth.3804
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941813/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:29407659
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