Abstract
The ability to specifically label subcellular structures or even proteins of interest in combination with the ability to look at live specimens turned fluorescence light microscopy into an invaluable tool. However, conventional light microscopy is diffraction limited, which restricts the lateral resolution to around 200 nm laterally and 600–800 nm axially. In 2014, the Nobel Prize in Chemistry was awarded to Eric Betzig, Stefan W. Hell, and William E. Moerner for the development of super-resolved fluorescent microscopy techniques. Since then, it has become evident that imaging techniques that enable the visualization of structures below the diffraction limit are essential for the field of life sciences. However, each one of these approaches has inherent advantages and limitations. Here, we describe an imaging workflow suitable for combining structured illumination microscopy (SIM) with direct stochastic optical reconstruction microscopy (dSTORM) data. This is invaluable, since it allows us to put highly resolved dSTORM data into its cellular context.
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Acknowledgments
We are grateful to Joao Firmino and Jens Rietdorf for critically reading the manuscript.
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Burri, O., Laroche, T., Guiet, R., Seitz, A. (2017). Correlative SIM-STORM Microscopy. In: Erfle, H. (eds) Super-Resolution Microscopy. Methods in Molecular Biology, vol 1663. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7265-4_8
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DOI: https://doi.org/10.1007/978-1-4939-7265-4_8
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-7264-7
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