The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multiplexed 3D cellular super-resolution imaging with DNA-PAINT and Exchange-PAINT
Open accessAbstract
Super-resolution fluorescence microscopy is a powerful tool for biological research, but obtaining multiplexed images for a large number of distinct target species remains challenging. Here we use the transient binding of short fluorescently labeled oligonucleotides (DNA-PAINT, a variation of point accumulation for imaging in nanoscale topography) for simple and easy-to-implement multiplexed super-resolution imaging that achieves sub-10-nm spatial resolution in vitro on synthetic DNA structures. We also report a multiplexing approach (Exchange-PAINT) that allows sequential imaging of multiple targets using only a single dye and a single laser source. We experimentally demonstrate ten-color super-resolution imaging in vitro on synthetic DNA structures as well as four-color two-dimensional (2D) imaging and three-color 3D imaging of proteins in fixed cells.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
In situ sequencing for RNA analysis in preserved tissue and cells
Ke, R., Mignardi, M., Pacureanu, A., Svedlund, J., Botling, J., Wählby, C., & Nilsson, M. (2013) · Nature Methods · doi:10.1038/nmeth.2563 · Cited by 934
Cited by
Seeman, N. C., & Sleiman, H. F. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.68 · Cited by 1,875
Multiplex digital spatial profiling of proteins and RNA in fixed tissue
Merritt, C. R., Ong, G. T., Church, S. E., Barker, K., Danaher, P., Geiss, G., Hoang, M., Jung, J., Liang, Y., McKay-Fleisch, J., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0472-9 · Cited by 1,072
Super-resolution microscopy with DNA-PAINT
Schnitzbauer, J., Strauss, M. T., Schlichthaerle, T., Schueder, F., & Jungmann, R. (2017) · Nature Protocols · doi:10.1038/nprot.2017.024 · Cited by 1,047
Self-citationPrinciples and Applications of Nucleic Acid Strand Displacement Reactions
Simmel, F. C., Yurke, B., & Singh, H. R. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00580 · Cited by 792
DNA nanotechnology from the test tube to the cell
Chen, Y.-J., Groves, B., Muscat, R. A., & Seelig, G. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.195 · Cited by 594
Metadata
- Authors
- Jungmann, R., Avendaño, M. S., Woehrstein, J. B., Dai, M., Shih, W. M., & Yin, P.
- Venue
- Nature Methods
- Published
- 2014-02-02
- Volume
- 11
- Issue
- 3
- Pages
- 313-318
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W1995143570
- Cited by
- 1,128
- References
- 1
- FWCI
- 34.83
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
