Title |
A novel mesh processing based technique for 3D plant analysis
|
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Published in |
BMC Plant Biology, May 2012
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DOI | 10.1186/1471-2229-12-63 |
Pubmed ID | |
Authors |
Anthony Paproki, Xavier Sirault, Scott Berry, Robert Furbank, Jurgen Fripp |
Abstract |
In recent years, imaging based, automated, non-invasive, and non-destructive high-throughput plant phenotyping platforms have become popular tools for plant biology, underpinning the field of plant phenomics. Such platforms acquire and record large amounts of raw data that must be accurately and robustly calibrated, reconstructed, and analysed, requiring the development of sophisticated image understanding and quantification algorithms. The raw data can be processed in different ways, and the past few years have seen the emergence of two main approaches: 2D image processing and 3D mesh processing algorithms. Direct image quantification methods (usually 2D) dominate the current literature due to comparative simplicity. However, 3D mesh analysis provides the tremendous potential to accurately estimate specific morphological features cross-sectionally and monitor them over-time. |
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Geographical breakdown
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Australia | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 2 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
Australia | 1 | <1% |
Switzerland | 1 | <1% |
New Zealand | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
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Demographic breakdown
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Researcher | 49 | 23% |
Student > Ph. D. Student | 42 | 20% |
Student > Master | 22 | 10% |
Professor > Associate Professor | 14 | 7% |
Student > Doctoral Student | 13 | 6% |
Other | 29 | 14% |
Unknown | 41 | 20% |
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Environmental Science | 5 | 2% |
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Other | 12 | 6% |
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