2015
DOI: 10.1016/j.bpj.2015.05.026
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Dual-Color 3D Superresolution Microscopy by Combined Spectral-Demixing and Biplane Imaging

Abstract: Multicolor three-dimensional (3D) superresolution techniques allow important insight into the relative organization of cellular structures. While a number of innovative solutions have emerged, multicolor 3D techniques still face significant technical challenges. In this Letter we provide a straightforward approach to single-molecule localization microscopy imaging in three dimensions and two colors. We combine biplane imaging and spectral-demixing, which eliminates a number of problems, including color cross-t… Show more

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Cited by 38 publications
(37 citation statements)
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“…To this end, we imaged Bsn and Ca v 2.1 using dual-color direct stochastic optical reconstruction microscopy (dSTORM) (Winterflood et al., 2015) (Figures S1A–S1C).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To this end, we imaged Bsn and Ca v 2.1 using dual-color direct stochastic optical reconstruction microscopy (dSTORM) (Winterflood et al., 2015) (Figures S1A–S1C).…”
Section: Resultsmentioning
confidence: 99%
“…For correlative live-fixed imaging of presynaptic structure and function, live images of SypHy responses were aligned with the fixed ratiometric images using a MATLAB routine (Figure S6). For STORM imaging, samples were fixed, permeabilized, stained for the proteins of interest, and imaged using either a commercially available N-STORM Nikon system or a custom-built setup as described before (Winterflood et al., 2015). Imaging was performed in objective-type near-total internal reflection fluorescence (TIRF) mode.…”
Section: Methodsmentioning
confidence: 99%
“…The imaging of microtubules as parallel lines around 40 nm apart we achieved here is a benchmark for high quality SMLM super-resolution imaging [15][16][17]19,26 . Similarly, the hollow nature of spectrin rings in neuronal axons has so far only been reported for 3D-SMLM 20,27,28 . ExSTED thus provides at least similar resolution to the most powerful superresolution approaches available at the time, both in 2D and in 3D.…”
Section: Discussionmentioning
confidence: 98%
“…The machine-learning algorithm we developed could correct for color cross-talk with high accuracy (>95% correctly classified fluorophores). This algorithm should be applicable to correct for color cross-talk that arises in emission-based superresolution microscopy when fluorophores with overlapping emission spectra are used (31,32), as long as the training dataset is generated using the specific experimental configuration, making it a versatile approach for correcting color cross-talk in superresolution imaging.…”
Section: Discussionmentioning
confidence: 99%