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Quantification of plant structure–function relationships through micro‐ CT imaging‐based finite element modeling

The Plant Journal · 1 Jul 2026 · 10.1111/tpj.71026

Abstract

SUMMARY 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.

Plant phenotyping relevance

植物器官の3D/4D構造をmicro-CTで取得し、有限要素モデルと組み合わせて構造・機能特性を解析する方法を中心に扱うレビューであり、植物フェノタイピング手法に該当する。

titleQuantification of plant structure–function relationships through micro‐ CT imaging‐based finite element modeling
abstractA 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.
abstractHere, 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.

Code and data availability

This is a focused review of micro-CT-based finite element modeling in plant science. The authors state no datasets were generated or analyzed, and no paper-specific public datasets, images, code, or models are deposited. Figure 1 image material was provided by colleagues but is not publicly released.

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