ArticlePlant methods2020
High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography.
Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 141 citations in OpenAlex.
- Plant counting: origins, development, and future paths.Plant phenomics (Washington, D.C.) · 2026Review
- Characterization of rhizosphere oxidation associated with root development in rice using planar oxygen optodes.Plant physiology · 2026Article
- Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement.Journal of experimental botany · 2026Review
- Novel imaging approaches for visualizing root-mycorrhizal fungal interactions.Journal of experimental botany · 2026Review
- Observing the invisible: X-ray CT for plant-microbe interactions.The New phytologist · 2026Review
- Integrating 3D phenotyping and functional-structural plant models for crop ideotype breeding.Nature communications · 2026Review
- High-Throughput Phenotyping: Status and Applications in Rice Breeding.Plants (Basel, Switzerland) · 2026Review
- Fungal foe: exploring cotton's physiological responses to Verticillium wilt.Frontiers in plant science · 2026Review
- Bridging scales: integrated multi-omics and deep phenotyping for climate resilience in crop plants.Frontiers in plant science · 2026Review
- Non-Invasive Phenotyping of Sugar Beet and Maize Roots Using Field-Scale Spectral Electrical Impedance Tomography.Plant, cell & environment · 2025Article
- A molecular perspective on the role of FERONIA in root growth, nutrient uptake, stress sensing and microbiome assembly.Journal of advanced research · 2025Review
- The use of X-ray computed tomography for advanced detection of Globodera pallida.PLoS pathogens · 2025Article
- Multiscale Mathematical Modeling in Systems Biology: A Framework to Boost Plant Synthetic Biology.Plants (Basel, Switzerland) · 2025Review
- Comparing Results from 2-D and 3-D Phenotyping Systems for Soybean Root System Architecture: A 'Comparison of Apples and Oranges'?Plants (Basel, Switzerland) · 2024Article
- Three-dimensional image analysis specifies the root distribution for drought avoidance in the early growth stage of rice.Annals of botany · 2024Article
- From phenotyping to genetic mapping: identifying water-stress adaptations in legume root traits.BMC plant biology · 2024Review
- Quantitative phenotyping of crop roots with spectral electrical impedance tomography: a rhizotron study with optimized measurement design.Plant methods · 2024Article
- Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels.Plant methods · 2024Article
- Non-destructive real-time monitoring of underground root development with distributed fiber optic sensing.Plant methods · 2024Article
- CT image-based 3D inflorescence estimation ofFrontiers in plant science · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundX-ray computed tomography (CT) allows us to visualize root system architecture (RSA) beneath the soil, non-destructively and in a three-dimensional (3-D) form. However, CT scanning, reconstruction processes, and root isolation from X-ray CT volumes, take considerable time. For genetic analyses, such as quantitative trait locus mapping, which require a large population size, a high-throughput RSA visualization method is required.
resultsWe have developed a high-throughput process flow for the 3-D visualization of rice (
conclusionsWe developed a high-throughput process flow for 3-D rice RSA visualization by X-ray CT. The X-ray dose assay on plant growth has shown that this methodology could be applicable for 4-D RSA phenotyping. We named the RSA visualization method 'RSAvis3D' and are confident that it represents a potentially efficient application for 3-D RSA phenotyping of various plant species.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.