ArticleAnnals of botany2019
Advanced X-ray CT scanning can boost tree ring research for earth system sciences.
Article in Annals of botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 52 citations in OpenAlex.
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- Multiyear Drought Strengthens Positive and Negative Functional Diversity Effects on Tree Growth Response.Global change biology · 2025Article
- Enabling high-throughput quantitative wood anatomy through a dedicated pipeline.Plant methods · 2025Article
- Quantitative vessel mapping on increment cores: a critical comparison of image acquisition methods.Frontiers in plant science · 2025Article
- Non-destructive wood identification using X-ray µCT scanning: which resolution do we need?Plant methods · 2024Article
- Detecting thin adhesive coatings in wood fiber materials with laboratory-based dual-energy computed tomography (DECT).Scientific reports · 2022Article
- X-Ray Computed Tomography for 3D Anatomical Analysis of Resin Ducts.Methods in molecular biology (Clifton, N.J.) · 2022Article
- CT Image Features Based on the Reconstruction Algorithm for Continuous Blood Purification Combined with Nursing Intervention in the Treatment of Severe Acute Pancreatitis.Contrast media & molecular imaging · 2022Article
- Beyond What Meets the Eye: Imaging and Imagining Wood Mechanical-Structural Properties.Advanced materials (Deerfield Beach, Fla.) · 2021Review
- Three-dimensional imaging of xylem at cell wall level through near field nano holotomography.Scientific reports · 2021Article
- High-Resolution X-Ray Computed Tomography: A New Workflow for the Analysis of Xylogenesis and Intra-Seasonal Wood Biomass Production.Frontiers in plant science · 2021Article
- Functional-morphological analyses of the delicate snap-traps of the aquatic carnivorous waterwheel plant (Aldrovanda vesiculosa) with 2D and 3D imaging techniques.Annals of botany · 2020Article
- Design and Test of a Microdestructive Tree-Ring Measurement System.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsTree rings, as archives of the past and biosensors of the present, offer unique opportunities to study influences of the fluctuating environment over decades to centuries. As such, tree-ring-based wood traits are capital input for global vegetation models. To contribute to earth system sciences, however, sufficient spatial coverage is required of detailed individual-based measurements, necessitating large amounts of data. X-ray computed tomography (CT) scanning is one of the few techniques that can deliver such data sets.
methodsIncrement cores of four different temperate tree species were scanned with a state-of-the-art X-ray CT system at resolutions ranging from 60 μm down to 4.5 μm, with an additional scan at a resolution of 0.8 μm of a splinter-sized sample using a second X-ray CT system to highlight the potential of cell-level scanning. Calibration-free densitometry, based on full scanner simulation of a third X-ray CT system, is illustrated on increment cores of a tropical tree species. KEY
resultsWe show how multiscale scanning offers unprecedented potential for mapping tree rings and wood traits without sample manipulation and with limited operator intervention. Custom-designed sample holders enable simultaneous scanning of multiple increment cores at resolutions sufficient for tree ring analysis and densitometry as well as single core scanning enabling quantitative wood anatomy, thereby approaching the conventional thin section approach. Standardized X-ray CT volumes are, furthermore, ideal input imagery for automated pipelines with neural-based learning for tree ring detection and measurements of wood traits.
conclusionsAdvanced X-ray CT scanning for high-throughput processing of increment cores is within reach, generating pith-to-bark ring width series, density profiles and wood trait data. This would allow contribution to large-scale monitoring and modelling efforts with sufficient global coverage.
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