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Light Sheet Microscopy for Single Molecule Tracking in Living Tissue

Overview of attention for article published in PLOS ONE, July 2010
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Title
Light Sheet Microscopy for Single Molecule Tracking in Living Tissue
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011639
Pubmed ID
Authors

Jörg Gerhard Ritter, Roman Veith, Andreas Veenendaal, Jan Peter Siebrasse, Ulrich Kubitscheck

Abstract

Single molecule observation in cells and tissue allows the analysis of physiological processes with molecular detail, but it still represents a major methodological challenge. Here we introduce a microscopic technique that combines light sheet optical sectioning microscopy and ultra sensitive high-speed imaging. By this approach it is possible to observe single fluorescent biomolecules in solution, living cells and even tissue with an unprecedented speed and signal-to-noise ratio deep within the sample. Thereby we could directly observe and track small and large tracer molecules in aqueous solution. Furthermore, we demonstrated the feasibility to visualize the dynamics of single tracer molecules and native messenger ribonucleoprotein particles (mRNPs) in salivary gland cell nuclei of Chironomus tentans larvae up to 200 microm within the specimen with an excellent signal quality. Thus single molecule light sheet based fluorescence microscopy allows analyzing molecular diffusion and interactions in complex biological systems.

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Mendeley readers

The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Germany 5 2%
France 2 <1%
United Kingdom 2 <1%
Switzerland 1 <1%
Australia 1 <1%
Austria 1 <1%
Colombia 1 <1%
Belgium 1 <1%
Other 3 1%
Unknown 242 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 31%
Researcher 70 26%
Student > Bachelor 21 8%
Professor > Associate Professor 19 7%
Student > Master 15 6%
Other 31 12%
Unknown 28 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 27%
Physics and Astronomy 70 26%
Engineering 32 12%
Biochemistry, Genetics and Molecular Biology 28 10%
Chemistry 19 7%
Other 16 6%
Unknown 31 12%