RooTrak: automated recovery of three-dimensional plant root architecture in soil from x-ray microcomputed tomography images using visual tracking.
about
Effects of Secondary Plant Metabolites on Microbial Populations: Changes in Community Structure and Metabolic Activity in Contaminated EnvironmentsAdvanced imaging techniques for the study of plant growth and developmentHousing helpful invaders: the evolutionary and molecular architecture underlying plant root-mutualist microbe interactionsA simple and versatile 2-dimensional platform to study plant germination and growth under controlled humidityRoot System Markup Language: Toward a Unified Root Architecture Description LanguageMatching roots to their environmentBelowground plant development measured with magnetic resonance imaging (MRI): exploiting the potential for non-invasive trait quantification using sugar beet as a proxy.Effects of damping-off caused by Rhizoctonia solani anastomosis group 2-1 on roots of wheat and oil seed rape quantified using X-ray Computed Tomography and real-time PCR.Direct comparison of MRI and X-ray CT technologies for 3D imaging of root systems in soil: potential and challenges for root trait quantification.Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data.An integrated method for quantifying root architecture of field-grown maize.X-ray computed tomography uncovers root-root interactions: quantifying spatial relationships between interacting root systems in three dimensionsRapid phenotyping of crop root systems in undisturbed field soils using X-ray computed tomography.3D imaging and mechanical modeling of helical buckling in Medicago truncatula plant roots.Release from belowground enemies and shifts in root traits as interrelated drivers of alien plant invasion success: a hypothesis.An image processing and analysis tool for identifying and analysing complex plant root systems in 3D soil using non-destructive analysis: Root1.Concepts and Analyses in the CT Scanning of Root Systems and Leaf Canopies: A Timely Summary.Relationships between root diameter, root length and root branching along lateral roots in adult, field-grown maize.3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architectureRoot Traits and Phenotyping Strategies for Plant ImprovementReshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology.Multiscale systems analysis of root growth and development: modeling beyond the network and cellular scales.Challenges and opportunities for quantifying roots and rhizosphere interactions through imaging and image analysis.Multiscale imaging of plants: current approaches and challenges.Root phenotyping: from component trait in the lab to breeding.Improving phosphorus use efficiency: a complex trait with emerging opportunities.Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root TraitsGenetic control of the root system in rice under normal and drought stress conditions by genome-wide association study.Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants.Recovering complete plant root system architectures from soil via X-ray μ-Computed Tomography.Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging.Extracting multiple interacting root systems using X-ray microcomputed tomography.Developmental morphology of cover crop species exhibit contrasting behaviour to changes in soil bulk density, revealed by X-ray computed tomography.Root resource foraging: does it matter?A novel Brassica-rhizotron system to unravel the dynamic changes in root system architecture of oilseed rape under phosphorus deficiency3D Plant cell architecture of Arabidopsis thaliana (Brassicaceae) using focused ion beam-scanning electron microscopyVirtual Plants Need Water Too: Functional-Structural Root System Models in the Context of Drought Tolerance Breeding.Rhizoslides: paper-based growth system for non-destructive, high throughput phenotyping of root development by means of image analysis.Recovering root system traits using image analysis exemplified by two-dimensional neutron radiography images of lupine.Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography.
P2860
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P2860
RooTrak: automated recovery of three-dimensional plant root architecture in soil from x-ray microcomputed tomography images using visual tracking.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
RooTrak: automated recovery of ...... images using visual tracking.
@en
RooTrak: automated recovery of ...... images using visual tracking.
@nl
type
label
RooTrak: automated recovery of ...... images using visual tracking.
@en
RooTrak: automated recovery of ...... images using visual tracking.
@nl
prefLabel
RooTrak: automated recovery of ...... images using visual tracking.
@en
RooTrak: automated recovery of ...... images using visual tracking.
@nl
P2093
P2860
P50
P356
P1433
P1476
RooTrak: automated recovery of ...... images using visual tracking.
@en
P2093
Stefan Mairhofer
Susan Zappala
Tony Pridmore
P2860
P304
P356
10.1104/PP.111.186221
P407
P577
2011-12-21T00:00:00Z