Measuring localization performance of super-resolution algorithms on very active samples

Wolter S, Endesfelder U, van de Linde S, Heilemann M, Sauer M (2011)
Optics Express 19(8): 7020-7033.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
Abstract / Bemerkung
Super-resolution fluorescence imaging based on single-molecule localization relies critically on the availability of efficient processing algorithms to distinguish, identify, and localize emissions of single fluorophores. In multiple current applications, such as three-dimensional, time-resolved or cluster imaging, high densities of fluorophore emissions are common. Here, we provide an analytic tool to test the performance and quality of localization microscopy algorithms and demonstrate that common algorithms encounter difficulties for samples with high fluorophore density. We demonstrate that, for typical single-molecule localization microscopy methods such as dSTORM and the commonly used rapidSTORM scheme, computational precision limits the acceptable density of concurrently active fluorophores to 0.6 per square micrometer and that the number of successfully localized fluorophores per frame is limited to 0.2 per square micrometer. (C) 2011 Optical Society of America
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Zeitschriftentitel
Optics Express
Band
19
Zeitschriftennummer
8
Seite
7020-7033
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Wolter S, Endesfelder U, van de Linde S, Heilemann M, Sauer M. Measuring localization performance of super-resolution algorithms on very active samples. Optics Express. 2011;19(8):7020-7033.
Wolter, S., Endesfelder, U., van de Linde, S., Heilemann, M., & Sauer, M. (2011). Measuring localization performance of super-resolution algorithms on very active samples. Optics Express, 19(8), 7020-7033. doi:10.1364/OE.19.007020
Wolter, S., Endesfelder, U., van de Linde, S., Heilemann, M., and Sauer, M. (2011). Measuring localization performance of super-resolution algorithms on very active samples. Optics Express 19, 7020-7033.
Wolter, S., et al., 2011. Measuring localization performance of super-resolution algorithms on very active samples. Optics Express, 19(8), p 7020-7033.
S. Wolter, et al., “Measuring localization performance of super-resolution algorithms on very active samples”, Optics Express, vol. 19, 2011, pp. 7020-7033.
Wolter, S., Endesfelder, U., van de Linde, S., Heilemann, M., Sauer, M.: Measuring localization performance of super-resolution algorithms on very active samples. Optics Express. 19, 7020-7033 (2011).
Wolter, Steve, Endesfelder, Ulrike, van de Linde, Sebastian, Heilemann, Mike, and Sauer, Markus. “Measuring localization performance of super-resolution algorithms on very active samples”. Optics Express 19.8 (2011): 7020-7033.

34 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Coordinate-based colocalization analysis of single-molecule localization microscopy data.
Malkusch S, Endesfelder U, Mondry J, Gelléri M, Verveer PJ, Heilemann M., Histochem Cell Biol 137(1), 2012
PMID: 22086768
Multicolor super-resolution fluorescence imaging via multi-parameter fluorophore detection.
Bates M, Dempsey GT, Chen KH, Zhuang X., Chemphyschem 13(1), 2012
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Wavelet analysis for single molecule localization microscopy.
Izeddin I, Boulanger J, Racine V, Specht CG, Kechkar A, Nair D, Triller A, Choquet D, Dahan M, Sibarita JB., Opt Express 20(3), 2012
PMID: 22330449
Live-cell super-resolution imaging with synthetic fluorophores.
van de Linde S, Heilemann M, Sauer M., Annu Rev Phys Chem 63(), 2012
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Statistical deconvolution for superresolution fluorescence microscopy.
Mukamel EA, Babcock H, Zhuang X., Biophys J 102(10), 2012
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Quantitative single-molecule microscopy reveals that CENP-A(Cnp1) deposition occurs during G2 in fission yeast.
Lando D, Endesfelder U, Berger H, Subramanian L, Dunne PD, McColl J, Klenerman D, Carr AM, Sauer M, Allshire RC, Heilemann M, Laue ED., Open Biol 2(7), 2012
PMID: 22870388

27 References

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