Evidence map›Paper›PMID 42457176›Full record

ReviewThe Plant journal : for cell and molecular biology2026

Quantification of plant structure-function relationships through micro-CT imaging-based finite element modeling.

Diksha Bhola, Anja Geitmann

Abstract readReview
In one paragraph

Review in The Plant journal : for cell and molecular biology, 2026. 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

2 authors.

Diksha BholaDepartment of Plant Science, McGill University, Montreal, Canada.ORCID https://orcid.org/0009-0008-2315-0497
Anja GeitmannDepartment of Plant Science, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0003-0390-0517

Funding

Natural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Plants display complex structural tissue arrangements and cell shapes that are intimately related to their functionality and whose precise geometry influences the metabolic and physical processes performed by different organs. Analyzing these structure-function relationships requires accurate information on the complex 3D anatomy and its changes over time at meaningful spatial resolution. A non-invasive approach, micro-CT imaging, can produce such 3D or 4D datasets and can be leveraged for finite element (FE) simulations of mechanical and physical processes. This combination of techniques has been employed to study biomechanical properties, gaseous diffusion, light propagation, hydraulics, and thermodynamic processes in plant organs. A deep understanding of structure-function relationships also paves the way to design bio-inspired structures using plant anatomy as a reference. Here, we illustrate how the combination of micro-CT-based imaging and FE modeling can be leveraged in plant science for advanced investigation of structure-function relationships.

Indexed as

PlantsX-Ray MicrotomographyBiomechanical PhenomenaFinite Element AnalysisImaging, Three-DimensionalStructure-Activity Relationshipbiomechanicsfinite element modelingfluid mechanicsplant anatomyplant structure‐function relationshipsthermodynamics

Identifiers

PMID42457176
PMCPMC13372521

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.