Evidence map›Paper›PMID 41415185›Full record

ArticlePlant phenomics (Washington, D.C.)2025

VRoot: A VR-Based application for manual root system architecture reconstruction.

Dirk N Baker, Tobias Selzner, Jens Henrik Göbbert, Hanno Scharr, Morris Riedel, Ebba Þóra Hvannberg, Andrea Schnepf, Daniel Zielasko

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Dirk N BakerJülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany.
Tobias SelznerInstitute of Bio- and Geosciences 3: Agrosphere, Forschungszentrum Jülich GmbH, Jülich, Germany.
Jens Henrik GöbbertJülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany.
Hanno ScharrInstitute of Advanced Simulation 8: Data Analytics and Machine Learning, Forschungszentrum Jülich GmbH, Jülich, Germany.
Morris RiedelSchool of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland.
Ebba Þóra HvannbergSchool of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland.
Andrea SchnepfInstitute of Bio- and Geosciences 3: Agrosphere, Forschungszentrum Jülich GmbH, Jülich, Germany.
Daniel ZielaskoHuman-Computer Interaction, Trier University, Trier, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes an immersive virtual reality reconstruction tool for root system architectures from 3D scans of soil columns. In practical scenarios, experimental conditions will be adapted to fit the need of the data analysis pipeline, including sieving and drying the soil before scanning. Based on previous reports of automatic systems that do not represent what experts would annotate, we developed a virtual reality system to assist with the extraction of root systems in cases in which automated approaches fall short of expert knowledge. The aim of the present study is to evaluate whether our immersive method is superior to classical annotation approaches when tested on synthetic data sets using untrained participants. Our laboratory user study consists of evaluating the root extractions of participants, along with their rating on central user experience and usability measures. We show significant improvement in

Indexed as

3D image analysisImmersive analyticsRoot phenotypingRoot system architectureVirtual reality

Identifiers

PMID41415185
PMCPMC12710000

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.