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Biological Insight from Super-Resolution Microscopy: What We Can Learn from Localization-Based Images
Annual Review of Biochemistry ( IF 12.1 ) Pub Date : 2018-06-20 00:00:00 , DOI: 10.1146/annurev-biochem-060815-014801
David Baddeley 1, 2 , Joerg Bewersdorf 1, 3
Affiliation  

Super-resolution optical imaging based on the switching and localization of individual fluorescent molecules [photoactivated localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), etc.] has evolved remarkably over the last decade. Originally driven by pushing technological limits, it has become a tool of biological discovery. The initial demand for impressive pictures showing well-studied biological structures has been replaced by a need for quantitative, reliable data providing dependable evidence for specific unresolved biological hypotheses. In this review, we highlight applications that showcase this development, identify the features that led to their success, and discuss remaining challenges and difficulties. In this context, we consider the complex topic of defining resolution for this imaging modality and address some of the more common analytical methods used with this data.

中文翻译:


超分辨率显微镜的生物学洞察力:我们可以从基于定位的图像中学到什么

基于单个荧光分子切换和定位的超分辨率光学成像 [光激活定位显微镜 (PALM)、随机光学重建显微镜 (STORM) 等] 在过去十年中取得了显着发展。最初是为了推动技术极限,它已成为生物学发现的工具。最初对显示经过充分研究的生物结构的令人印象深刻的图片的需求已经被对定量、可靠数据的需求所取代,这些数据为特定未解决的生物学假设提供了可靠的证据。在这篇评论中,我们重点介绍了展示这种发展的应用程序,确定了导致它们成功的特征,并讨论了剩余的挑战和困难。在这种情况下,

更新日期:2018-06-20
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