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Cited by 526

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Video-rate nanoscopy using sCMOS camera–specific single-molecule localization algorithms

Open access
Huang, Fang, Hartwich, Tobias M P, Rivera-Molina, Felix E, Lin, Yu, Duim, Whitney C, Long, Jane J, Uchil, Pradeep D, Myers, Jordan R, Baird, Michelle A, Mothes, Walther, Davidson, Michael W, Toomre, Derek, Bewersdorf, Joerg·2013·Nature Methods

Abstract

Newly developed scientific complementary metal-oxide semiconductor (sCMOS) cameras have the potential to dramatically accelerate data acquisition, enlarge the field of view and increase the effective quantum efficiency in single-molecule switching nanoscopy. However, sCMOS-intrinsic pixel-dependent readout noise substantially lowers the localization precision and introduces localization artifacts. We present algorithms that overcome these limitations and that provide unbiased, precise localization of single molecules at the theoretical limit. Using these in combination with a multi-emitter fitting algorithm, we demonstrate single-molecule localization super-resolution imaging at rates of up to 32 reconstructed images per second in fixed and living cells.

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Crossref · 10.1038/nmeth.2488

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Metadata

Authors
Huang, F., Hartwich, T. M. P., Rivera-Molina, F. E., Lin, Y., Duim, W. C., Long, J. J., Uchil, P. D., Myers, J. R., Baird, M. A., Mothes, W., Davidson, M. W., Toomre, D., & Bewersdorf, J.
Venue
Nature Methods
Published
2013-05-26
Volume
10
Issue
7
Pages
653-658
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W1999085806
Cited by
526
References
1
FWCI
37.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Video-rate nanoscopy using sCMOS camera–specific single-molecule localization algorithms. https://app.cochat.ai/papers/10.1038/nmeth.2488
The paper
Huang, F., Hartwich, T. M. P., Rivera-Molina, F. E., Lin, Y., Duim, W. C., Long, J. J., Uchil, P. D., Myers, J. R., Baird, M. A., Mothes, W., Davidson, M. W., Toomre, D., & Bewersdorf, J. (2013). Video-rate nanoscopy using sCMOS camera–specific single-molecule localization algorithms. Nature Methods. https://doi.org/10.1038/nmeth.2488

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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.