ArticlePlant methods2023
The semi-automated development of plant cell wall finite element models.
Article in Plant methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Synchrotron macro-ATR-FTIR: a powerful technique for analyzing changes in plant cell chemical composition after surfactant exposure.The Plant journal : for cell and molecular biology · 2025Article
- Experimental error analysis of biomechanical phenotyping for stalk lodging resistance in maize.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This study presents a methodology for a high-throughput digitization and quantification process of plant cell walls characterization, including the automated development of two-dimensional finite element models. Custom algorithms based on machine learning can also analyze the cellular microstructure for phenotypes such as cell size, cell wall curvature, and cell wall orientation. To demonstrate the utility of these models, a series of compound microscope images of both herbaceous and woody representatives were observed and processed. In addition, parametric analyses were performed on the resulting finite element models. Sensitivity analyses of the structural stiffness of the resulting tissue based on the cell wall elastic modulus and the cell wall thickness; demonstrated that the cell wall thickness has a three-fold larger impact of tissue stiffness than cell wall elastic modulus.
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Registered trials
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