Title |
Recovering complete plant root system architectures from soil via X-ray μ-Computed Tomography
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Published in |
Plant Methods, March 2013
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DOI | 10.1186/1746-4811-9-8 |
Pubmed ID | |
Authors |
Stefan Mairhofer, Susan Zappala, Saoirse Tracy, Craig Sturrock, Malcolm John Bennett, Sacha Jon Mooney, Tony Paul Pridmore |
Abstract |
X-ray micro-Computed Tomography (μCT) offers the ability to visualise the three-dimensional structure of plant roots growing in their natural environment - soil. Recovery of root architecture descriptions from X-ray CT data is, however, challenging. The X-ray attenuation values of roots and soil overlap, and the attenuation values of root material vary. Any successful root identification method must both explicitly target root material and be able to adapt to local changes in root properties.RooTrak meets these requirements by combining the level set method with a visual tracking framework and has been shown to be capable of segmenting a variety of plant roots from soil in X-ray μCT images. The approach provides high quality root descriptions, but tracks root systems top to bottom and so omits upward-growing (plagiotropic) branches. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Mexico | 2 | 1% |
Belgium | 2 | 1% |
United Kingdom | 1 | <1% |
Germany | 1 | <1% |
India | 1 | <1% |
United States | 1 | <1% |
Unknown | 180 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 46 | 24% |
Researcher | 35 | 19% |
Student > Master | 20 | 11% |
Student > Doctoral Student | 18 | 10% |
Student > Bachelor | 10 | 5% |
Other | 34 | 18% |
Unknown | 25 | 13% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 87 | 46% |
Environmental Science | 12 | 6% |
Engineering | 11 | 6% |
Biochemistry, Genetics and Molecular Biology | 8 | 4% |
Computer Science | 7 | 4% |
Other | 23 | 12% |
Unknown | 40 | 21% |