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Stimulated Emission Depletion Microscopy
Abstract
Despite its short history, diffraction-unlimited fluorescence microscopy techniques have already made a substantial imprint in the biological sciences. In this review, we describe how stimulated emission depletion (STED) imaging originally evolved, how it compares to other optical super-resolution imaging techniques, and what advantages it provides compared to previous golden-standards for biological microscopy, such as diffraction-limited optical microscopy and electron microscopy. We outline the prerequisites for successful STED imaging experiments, emphasizing the equally critical roles of instrumentation, sample preparation, and photophysics, and describe major evolving strategies for how to push the borders of STED imaging even further in life science. Finally, we provide examples of how STED nanoscopy can be applied, within three different fields with particular potential for STED imaging experiments: neuroscience, plasma membrane biophysics, and subcellular clinical diagnostics. In these areas, and in many more, STED imaging can be expected to play an increasingly important role in the future.
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Metadata
- Authors
- Blom, H., & Widengren, J.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-03-06
- Volume
- 117
- Issue
- 11
- Pages
- 7377-7427
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2594822719
- Cited by
- 339
- References
- 320
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.