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Correlative Stochastic Optical Reconstruction Microscopy and Electron Microscopy

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2015

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Public Library of Science
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Kim, Doory, Thomas J. Deerinck, Yaron M. Sigal, Hazen P. Babcock, Mark H. Ellisman, and Xiaowei Zhuang. 2015. “Correlative Stochastic Optical Reconstruction Microscopy and Electron Microscopy.” PLoS ONE 10 (4): e0124581. doi:10.1371/journal.pone.0124581. http://dx.doi.org/10.1371/journal.pone.0124581.

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Abstract

Correlative fluorescence light microscopy and electron microscopy allows the imaging of spatial distributions of specific biomolecules in the context of cellular ultrastructure. Recent development of super-resolution fluorescence microscopy allows the location of molecules to be determined with nanometer-scale spatial resolution. However, correlative super-resolution fluorescence microscopy and electron microscopy (EM) still remains challenging because the optimal specimen preparation and imaging conditions for super-resolution fluorescence microscopy and EM are often not compatible. Here, we have developed several experiment protocols for correlative stochastic optical reconstruction microscopy (STORM) and EM methods, both for un-embedded samples by applying EM-specific sample preparations after STORM imaging and for embedded and sectioned samples by optimizing the fluorescence under EM fixation, staining and embedding conditions. We demonstrated these methods using a variety of cellular targets.

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