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ImageJ plug-in for Bayesian analysis of blinking and bleaching

Nature Methods volume 10, pages 97–98 (2013)Cite this article

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To the Editor:

The explosion of super-resolution microscopy research over the last 10 years has resulted in a myriad of new techniques1, all of which have distinct advantages and disadvantages. Localization microscopy achieves an improvement in resolution by taking multiple images, each with only a few fluorophores emitting light2. A recently developed variation on the localization technique, Bayesian analysis of blinking and bleaching (3B)3, allows analysis of data with multiple overlapping fluorophores in every image. For those willing to invest in the longer analysis time required by 3B, this tool offers the possibility of observing cell dynamics at super-resolution, as demonstrated in the original paper.

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Figure 1: A typical 3B workflow using ImageJ.

References

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Acknowledgements

We thank J. Rogers, D. Matthews and T. Iskratsch for beta testing the plug-in and M. Schmid and C. Rueden for providing advice and support on ImageJ integration. Work in the G.E.J. laboratory is supported by the Medical Research Council (G1100041); S.C. is supported by a Royal Society University Research Fellowship.

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Authors and Affiliations

  1. Department of Engineering, University of Cambridge, Cambridge, UK

    Edward Rosten

  2. Computer Vision Consulting, Woking, UK

    Edward Rosten

  3. Randall Division of Cell and Molecular Biophysics, King's College London, London, UK

    Gareth E Jones & Susan Cox

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  1. Edward Rosten
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  2. Gareth E Jones
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  3. Susan Cox
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Correspondence to Susan Cox.

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The authors declare no competing financial interests.

Supplementary information

Supplementary Software

3B plug-in and user guide. (ZIP 19877 kb)

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Rosten, E., Jones, G. & Cox, S. ImageJ plug-in for Bayesian analysis of blinking and bleaching. Nat Methods 10, 97–98 (2013). https://doi.org/10.1038/nmeth.2342

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