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Kinematic study of root elongation in Arabidopsis thaliana with a novel image-analysis program

Overview of attention for article published in Journal of Plant Research, October 2012
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Title
Kinematic study of root elongation in Arabidopsis thaliana with a novel image-analysis program
Published in
Journal of Plant Research, October 2012
DOI 10.1007/s10265-012-0523-5
Pubmed ID
Authors

Akitoshi Iwamoto, Eri Kondo, Hirotomo Fujihashi, Munetaka Sugiyama

Abstract

The measurement of the spatial profile of root elongation needs to determine matching points between time-lapse images and calculate their displacement. These data have been obtained by laborious manual methods in the past. Some computer-based programs have been developed to improve the measurement, but they require many time-series digital images or sprinkling graphite particles on the root prior to image capture. Here, we have developed GrowthTracer, a new image-analysis program for the kinematic study of root elongation. GrowthTracer employs a multiresolution image matching method with a nonlinear filter called the critical point filter (CPF), which extracts critical points from images at each resolution and can determine precise matching points by analysis of only two intact images, without pre-marking by graphite particles. This program calculates the displacement of each matching point and determines the displacement velocity profile along the medial axis of the root. In addition, a manual input of distinct matching points increases the matching accuracy. We show a successful application of this novel program for the kinematic analysis of root growth in Arabidopsis thaliana.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 8%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 4 17%
Student > Doctoral Student 3 13%
Professor 3 13%
Professor > Associate Professor 3 13%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 71%
Biochemistry, Genetics and Molecular Biology 3 13%
Physics and Astronomy 1 4%
Unknown 3 13%
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 19 October 2012.
All research outputs
#18,317,537
of 22,681,577 outputs
Outputs from Journal of Plant Research
#653
of 820 outputs
Outputs of similar age
#133,328
of 175,904 outputs
Outputs of similar age from Journal of Plant Research
#2
of 3 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 820 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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