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) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
115.pdf Restricted Access | 904.6 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.