Evidence map›Paper›PMID 31361809›Full record

ArticleAnnals of botany2019

Advanced X-ray CT scanning can boost tree ring research for earth system sciences.

Jan Van den Bulcke, Marijn A Boone, Jelle Dhaene, Denis Van Loo, Luc Van Hoorebeke, Matthieu N Boone, Francis Wyffels, Hans Beeckman, Joris Van Acker, Tom De Mil

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 52 citations in OpenAlex.

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  9. X-Ray Computed Tomography for 3D Anatomical Analysis of Resin Ducts.Methods in molecular biology (Clifton, N.J.) · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Jan Van den BulckeUGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Gent, Belgium.
Marijn A BooneTESCAN XRE, Gent, Belgium.
Jelle DhaeneGhent University Centre for X-ray Tomography (UGCT), Gent, Belgium.
Denis Van LooTESCAN XRE, Gent, Belgium.
Luc Van HoorebekeGhent University Centre for X-ray Tomography (UGCT), Gent, Belgium.
Matthieu N BooneGhent University Centre for X-ray Tomography (UGCT), Gent, Belgium.
Francis WyffelsELIS Department, Ghent University - imec, Ghent, Belgium.
Hans BeeckmanRoyal Museum for Central Africa, Wood Biology Service, Tervuren, Belgium.
Joris Van AckerUGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Gent, Belgium.
Tom De MilUGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Gent, Belgium.
Ghent University · BERoyal Museum for Central Africa · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Tomography, X-Ray ComputedWoodDensitometryX-Rayscomputed tomographydeep learningdensitometryearth system sciencesincrement coresmultiscale imagingscanner simulationtree ring analysiswood traitsX-ray CT

Identifiers

PMID31361809
PMCPMC6868372
OpenAlexW2966223541

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.