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Biological Insight from Super-Resolution Microscopy: What We Can Learn from Localization-Based Images.

Citation
Baddeley, D., and J. Bewersdorf. “Biological Insight From Super-Resolution Microscopy: What We Can Learn From Localization-Based Images.”. Annual Review Of Biochemistry, pp. 965-989.
Center Yale University
Author David Baddeley, Joerg Bewersdorf
Keywords PAINT, PALM, STORM, nanoscopy, quantitative analysis, single-molecule localization microscopy
Abstract

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 The initial demand for impressive pictures showing well-studied biological structures has been replaced by a need for quantitative, reliable data providing dependable evidence for specific unresolved biological hypotheses.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.

Year of Publication
2018
Journal
Annual review of biochemistry
Volume
87
Number of Pages
965-989
Date Published
12/2018
ISSN Number
1545-4509
DOI
10.1146/annurev-biochem-060815-014801
Alternate Journal
Annu. Rev. Biochem.
PMID
29272143
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