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Visualizing and discovering cellular structures with super-resolution microscopy

Open access
Sigal, Yaron M., Zhou, Ruobo, Zhuang, Xiaowei·2018·Science

Abstract

Super-resolution microscopy has overcome a long-held resolution barrier—the diffraction limit—in light microscopy and enabled visualization of previously invisible molecular details in biological systems. Since their conception, super-resolution imaging methods have continually evolved and can now be used to image cellular structures in three dimensions, multiple colors, and living systems with nanometer-scale resolution. These methods have been applied to answer questions involving the organization, interaction, stoichiometry, and dynamics of individual molecular building blocks and their integration into functional machineries in cells and tissues. In this Review, we provide an overview of super-resolution methods, their state-of-the-art capabilities, and their constantly expanding applications to biology, with a focus on the latter. We will also describe the current technical challenges and future advances anticipated in super-resolution imaging.

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Crossref · 10.1126/science.aau1044

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Metadata

Authors
Sigal, Y. M., Zhou, R., & Zhuang, X.
Venue
Science
Published
2018-08-31
Volume
361
Issue
6405
Pages
880-887
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2889080358
Cited by
718
References
10
FWCI
35.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Visualizing and discovering cellular structures with super-resolution microscopy. https://app.cochat.ai/papers/10.1126/science.aau1044
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Sigal, Y. M., Zhou, R., & Zhuang, X. (2018). Visualizing and discovering cellular structures with super-resolution microscopy. Science. https://doi.org/10.1126/science.aau1044

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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.