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Infrared microspectroscopic imaging of plant tissues: spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure

Overview of attention for article published in Plant Journal, October 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Infrared microspectroscopic imaging of plant tissues: spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure
Published in
Plant Journal, October 2015
DOI 10.1111/tpj.13031
Pubmed ID
Authors

Frederick J Warren, Benjamin B Perston, Silvia P Galindez-Najera, Cathrina H Edwards, Prudence O Powell, Giusy Mandalari, Grant M Campbell, Peter J Butterworth, Peter R Ellis

Abstract

Infrared microspectroscopy is a tool with potential for studies of the microstructure, chemical composition and functionality of plants at a sub-cellular level. Here we present the use of high resolution bench-top based infrared microspectroscopy to investigate the microstructure of wheat kernels and Arabidopsis leaves. Images of isolated wheat kernel tissues and whole wheat kernels following hydrothermal processing and simulated gastric and duodenal digestion were generated, as well as of Arabidopsis leaves at different points during a diurnal cycle. Individual cells and cell walls were resolved, and large structures within cells such as starch granules and protein bodies were clearly identified. Contrast was provided by converting the hyperspectral image cubes into false-colour images using either principal component analysis (PCA) overlays, or by correlation analysis. The unsupervised PCA approach provided a clear view of the sample microstructure, while the correlation analysis was used to confirm the identity of different anatomical structures using the spectra from isolated components. It was then demonstrated that gelatinised and native starch within cells could be distinguished, and the loss of starch during wheat digestion could be observed, as well as accumulation of starch during a diurnal period in leaves. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 10 17%
Student > Bachelor 5 8%
Professor 4 7%
Other 3 5%
Other 14 23%
Unknown 13 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 32%
Biochemistry, Genetics and Molecular Biology 9 15%
Engineering 5 8%
Unspecified 2 3%
Environmental Science 2 3%
Other 6 10%
Unknown 17 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 August 2016.
All research outputs
#14,559,962
of 25,411,814 outputs
Outputs from Plant Journal
#4,992
of 7,302 outputs
Outputs of similar age
#135,731
of 294,870 outputs
Outputs of similar age from Plant Journal
#42
of 91 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,302 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 294,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.