Challenges in quantitative single molecule localization microscopy
Autor: | Hendrik Deschout, Aleksandra Radenovic, Marco Scarselli, Arun Shivanandan |
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Rok vydání: | 2014 |
Předmět: |
Single molecule localization
Quantitative SMLM Single molecule Biophysics Nanotechnology PALM Biochemistry Quantitative biology Cluster analysis Co localization Structural Biology Microscopy Single molecule localization microscopy SMLM Genetics Fluorescence microscope Animals Humans Photoactivated localization microscopy SMLM Biology Molecular Biology Chemistry Single molecule counting Cell Biology Fluorescent proteins Photo Activated Localization Microscopy Microscopy Fluorescence Co-localization Single molecule localization microscopy Artifacts Biological system Photo Activated Localization Microscopy PALM |
Zdroj: | FEBS Letters. 588:3595-3602 |
ISSN: | 0014-5793 |
DOI: | 10.1016/j.febslet.2014.06.014 |
Popis: | Single molecule localization microscopy (SMLM), which can provide up to an order of magnitude improvement in spatial resolution over conventional fluorescence microscopy, has the potential to be a highly useful tool for quantitative biological experiments. It has already been used for this purpose in varied fields in biology, ranging from molecular biology to neuroscience. In this review article, we briefly review the applications of SMLM in quantitative biology, and also the challenges involved and some of the solutions that have been proposed. Due to its advantages in labeling specificity and the relatively low overcounting caused by photoblinking when photo-activable fluorescent proteins (PA-FPs) are used as labels, we focus specifically on Photo-Activated Localization Microscopy (PALM), even though the ideas presented might be applicable to SMLM in general. Also, we focus on the following three quantitative measurements: single molecule counting, analysis of protein spatial distribution heterogeneity and co-localization analysis. (C) 2014 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved. |
Databáze: | OpenAIRE |
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