Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/10572/2297
Title: Quantitative super-resolution imaging with qPAINT
Authors: Jungmann, Ralf
Avendano, Maier S.
Dai, Mingjie
Woehrstein, Johannes B.
Agasti, Sarit S.
Feiger, Zachary
Rodal, Avital
Yin, Peng
Keywords: Biochemistry & Molecular Biology
Nuclear-Pore Complex
Spatial-Organization
Rna-Polymerase
Dna-Paint
Microscopy
Molecules
Probes
Fluorescence
Bruchpilot
Maturation
Issue Date: 2016
Publisher: Nature Publishing Group
Citation: Jungmann, R.; Avendano, M. S.; Dai, M. J.; Woehrstein, J. B.; Agasti, S. S.; Feiger, Z.; Rodal, A.; Yin, P., Quantitative super-resolution imaging with qPAINT. Nature Methods 2016, 13 (5), 439-+ http://dx.doi.org/10.1038/nmeth.3804
Nature Methods
13
5
Abstract: Counting molecules in complexes is challenging, even with super-resolution microscopy. 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), works independently of dye photophysics for robust counting with high precision and accuracy over a wide dynamic range. qPAINT was benchmarked on DNA nanostructures and demonstrated for cellular applications by quantifying proteins in situ and the number of single-molecule FISH probes bound to an mRNA target.
Description: Restricted Access
URI: https://libjncir.jncasr.ac.in/xmlui/10572/2297
ISSN: 1548-7091
Appears in Collections:Research Articles (Sarit S. Agasti)

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