ArticlePlant methods2018
Investigating the microstructure of plant leaves in 3D with lab-based X-ray computed tomography.
Article in Plant methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 73 citations in OpenAlex.
- Brassinosteroid controls leaf air space patterning non-cell autonomously by promoting epidermal growth.Development (Cambridge, England) · 2026Article
- High-resolution microCT reveals relationships between stomata and interior leaf anatomy in sorghum.Plant physiology · 2026Article
- Quantification of plant structure-function relationships through micro-CT imaging-based finite element modeling.The Plant journal : for cell and molecular biology · 2026Review
- Technological advances in imaging and modelling of leaf structural traits: a review of heat stress in wheat.Journal of experimental botany · 2026Review
- Characterization of Grain Structure Using Micro-CT and Identification of Related Candidate Genes by QTL Mapping in Foxtail Millet.Plants (Basel, Switzerland) · 2025Article
- X-ray micro-CT imaging to study foliar water uptake mechanisms in plants with contrasting leaf topography.The New phytologist · 2025Article
- Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning.Plant phenomics (Washington, D.C.) · 2025Article
- Review
- Subcellular plant carbohydrate metabolism under elevated temperature.Plant physiology · 2025Article
- Three dimensional visualization of subcellular and suborganellar structures in near-native plant cells by synchrotron soft X-ray tomography.Frontiers in plant science · 2025Article
- In vivo X-ray microtomography locally affects stem radial growth with no immediate physiological impact.Plant physiology · 2024Article
- CT image-based 3D inflorescence estimation ofFrontiers in plant science · 2024Article
- Automated extraction of pod phenotype data from micro-computed tomography.Frontiers in plant science · 2023Article
- Defining the scope for altering rice leaf anatomy to improve photosynthesis: a modelling approach.The New phytologist · 2023Article
- 3-D reconstruction of rice leaf tissue for proper estimation of surface area of mesophyll cells and chloroplasts facing intercellular airspaces from 2-D section images.Annals of botany · 2022Article
- Synchrotron tomography applications in agriculture and food sciences research: a review.Plant methods · 2022Review
- An Overview of Cryo-Scanning Electron Microscopy Techniques for Plant Imaging.Plants (Basel, Switzerland) · 2022Review
- X-ray microscopy enables multiscale high-resolution 3D imaging of plant cells, tissues, and organs.Plant physiology · 2022Article
- A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google's Colaboratory.Frontiers in plant science · 2022Article
- Riddled with holes: Understanding air space formation in plant leaves.PLoS biology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLeaf cellular architecture plays an important role in setting limits for carbon assimilation and, thus, photosynthetic performance. However, the low density, fine structure, and sensitivity to desiccation of plant tissue has presented challenges to its quantification. Classical methods of tissue fixation and embedding prior to 2D microscopy of sections is both laborious and susceptible to artefacts that can skew the values obtained. Here we report an image analysis pipeline that provides quantitative descriptors of plant leaf intercellular airspace using lab-based X-ray computed tomography (microCT). We demonstrate successful visualisation and quantification of differences in leaf intercellular airspace in 3D for a range of species (including both dicots and monocots) and provide a comparison with a standard 2D analysis of leaf sections.
resultsWe used the microCT image pipeline to obtain estimates of leaf porosity and mesophyll exposed surface area (S
conclusionsOur results demonstrate the utility of high resolution imaging of leaf intercellular airspace networks by lab-based microCT and provide quantitative data on descriptors of leaf cellular architecture. They indicate there is a range of porosity and S
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Registered trials
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.