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PMID: 17170013 Published · ppublish English Journal Article Review

Breaking the resolution limit in light microscopy.

Briefings in functional genomics & proteomics ·Vol. 5 ·No. 4 ·2006-12-00 ·Pages 289-301

Heintzmann R, Ficz G

Abstract

Fluorescent imaging microscopy has been an essential tool for biologists over many years, especially after the discovery of the green fluorescent protein and the possibility of tagging virtually every protein with it. In recent years dramatic enhancement of the level of detail at which a fluorescing structure of interest can be imaged have been achieved. We review classical and new developments in high-resolution microscopy, and describe how these methods have been used in biological research. Classical methods include widefield and confocal microscopy whereas novel approaches range from linear methods such as 4Pi, I(5) and structured illumination microscopy to non-linear schemes such as stimulated emission depletion and saturated structured illumination. Localization based approaches (e.g. PALM and STORM), near-field methods and total internal refraction microscopy are also discussed. As the terms 'resolution', 'sensitivity', 'sampling' and 'precision' are sometimes confused, we explain their clear distinction. Key concepts such as the point spread function and the Abbe limit, which are necessary for an in depth understanding of the presented methods, are described without requiring extensive mathematical training.

MeSH Terms
Animals Green Fluorescent Proteins Humans Light Microscopy/instrumentation,methods Microscopy, Confocal Microscopy, Fluorescence/instrumentation,methods Optics and Photonics Sensitivity and Specificity
Chemicals
Green Fluorescent Proteins
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Heintzmann Rainer
Rainer.Heintzmann@kcl.ac.uk
Ficz Gabriella
Article Info
Journal
Briefings in functional genomics & proteomics
Abbr.
Brief Funct Genomic Proteomic
ISSN
1473-9550
Published
2006-12-00
Pages
289-301
Language
English
Region
England
NLM ID
101150306
Subset
IM
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