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Two-photon imaging with longer wavelength excitation in intact Arabidopsis tissues

Overview of attention for article published in Protoplasma, January 2015
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Title
Two-photon imaging with longer wavelength excitation in intact Arabidopsis tissues
Published in
Protoplasma, January 2015
DOI 10.1007/s00709-014-0754-5
Pubmed ID
Authors

Yoko Mizuta, Daisuke Kurihara, Tetsuya Higashiyama

Abstract

In vivo imaging of living organisms is an important tool to investigate biological phenomena. Two-photon excitation microscopy (2PEM) is a laser-scanning microscopy that provides noninvasive, deep imaging in living organisms based on the principle of multiphoton excitation. However, application of 2PEM to plant tissues has not been fully developed, as plant-specific autofluorescence, optically dense tissues, and multiple light-scattering structures diminish the clarity of imaging. In this study, the advantages of 2PEM were identified for deep imaging of living and intact Arabidopsis thaliana tissues. When compared to single-photon imaging, near-infrared 2PEM, especially at 1000 nm, reduced chloroplast autofluorescence; autofluorescence also decreased in leaves, roots, pistils, and pollen grains. For clear and deep imaging, longer excitation wavelengths using the orange fluorescent proteins (FPs) TagRFP and tdTomato gave better results than with other colors. 2PEM at 980 nm also provided multicolor imaging by simultaneous excitation, and the combination of suitable FPs and excitation wavelengths allowed deep imaging of intact cells in root tips and pistils. Our results demonstrated the importance of choosing both suitable FPs and excitation wavelengths for clear two-photon imaging. Further advances in in vivo analysis using 2PEM will facilitate more extensive studies in the plant biological sciences.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Researcher 17 25%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 6 9%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 44%
Biochemistry, Genetics and Molecular Biology 15 22%
Chemistry 2 3%
Physics and Astronomy 2 3%
Chemical Engineering 1 1%
Other 3 4%
Unknown 15 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2015.
All research outputs
#20,249,662
of 22,778,347 outputs
Outputs from Protoplasma
#739
of 970 outputs
Outputs of similar age
#318,966
of 379,767 outputs
Outputs of similar age from Protoplasma
#6
of 17 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.