分辨率(逻辑)
计算机科学
显微镜
计算生物学
人工智能
生物
物理
光学
作者
Yaron M. Sigal,Ruobo Zhou,Xiaowei Zhuang
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2018-08-30
卷期号:361 (6405): 880-887
被引量:679
标识
DOI:10.1126/science.aau1044
摘要
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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