The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Measuring image resolution in optical nanoscopy
Open accessAbstract
Resolution in optical nanoscopy (or super-resolution microscopy) depends on the localization uncertainty and density of single fluorescent labels and on the sample's spatial structure. Currently there is no integral, practical resolution measure that accounts for all factors. We introduce a measure based on Fourier ring correlation (FRC) that can be computed directly from an image. We demonstrate its validity and benefits on two-dimensional (2D) and 3D localization microscopy images of tubulin and actin filaments. Our FRC resolution method makes it possible to compare achieved resolutions in images taken with different nanoscopy methods, to optimize and rank different emitter localization and labeling strategies, to define a stopping criterion for data acquisition, to describe image anisotropy and heterogeneity, and even to estimate the average number of localizations per emitter. Our findings challenge the current focus on obtaining the best localization precision, showing instead how the best image resolution can be achieved as fast as possible.
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
Rosenthal, P. B., & Henderson, R. (2003) · Journal of Molecular Biology · doi:10.1016/j.jmb.2003.07.013 · Cited by 2,416
Veatch, S. L., Machta, B. B., Shelby, S. A., Chiang, E. N., Holowka, D. A., & Baird, B. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031457 · Cited by 290
Cited by
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
Ludtmann, M. H. R., Angelova, P. R., Horrocks, M. H., Choi, M. L., Rodrigues, M., Baev, A. Y., Berezhnov, A. V., Yao, Z., Little, D., Banushi, B., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04422-2 · Cited by 513
Quantitative evaluation of software packages for single-molecule localization microscopy
Sage, D., Kirshner, H., Pengo, T., Stuurman, N., Min, J., Manley, S., & Unser, M. (2015) · Nature Methods · doi:10.1038/nmeth.3442 · Cited by 396
Strategic and practical guidelines for successful structured illumination microscopy
Demmerle, J., Innocent, C., North, A. J., Ball, G., Müller, M., Miron, E., Matsuda, A., Dobbie, I. M., Markaki, Y., & Schermelleh, L. (2017) · Nature Protocols · doi:10.1038/nprot.2017.019 · Cited by 336
Switchable Fluorophores for Single-Molecule Localization Microscopy
Li, H., & Vaughan, J. C. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00767 · Cited by 319
Kinetic disruption of lipid rafts is a mechanosensor for phospholipase D
Petersen, E. N., Chung, H.-W., Nayebosadri, A., & Hansen, S. B. (2016) · Nature Communications · doi:10.1038/ncomms13873 · Cited by 129
Hyperphosphorylated tau self-assembles into amorphous aggregates eliciting TLR4-dependent responses
Meng, J. X., Zhang, Y., Saman, D., Haider, A. M., De, S., Sang, J. C., Brown, K., Jiang, K., Humphrey, J., Julian, L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30461-x · Cited by 84
Danial, J. S. H., Lam, J. Y. L., Wu, Y., Woolley, M., Dimou, E., Cheetham, M. R., Emin, D., & Klenerman, D. (2022) · Nature Protocols · doi:10.1038/s41596-022-00730-6 · Cited by 40
Metadata
- Authors
- Nieuwenhuizen, R. P. J., Lidke, K. A., Bates, M., Puig, D. L., Grünwald, D., Stallinga, S., & Rieger, B.
- Venue
- Nature Methods
- Published
- 2013-04-28
- Volume
- 10
- Issue
- 6
- Pages
- 557-562
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2134396482
- Cited by
- 800
- References
- 2
- FWCI
- 24.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
