ArticlePlant methods2017
Histological quantification of maize stem sections from FASGA-stained images.
Article in Plant methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 37 citations in OpenAlex.
- Species- and endpoint-dependent phytotoxic responses of maize and lettuce toFrontiers in plant science · 2026Article
- Bioenergy sorghum stems respond to mechanical stimulation with tissue-specific modifications in hormone homeostasis and anatomical traits.Frontiers in plant science · 2026Article
- Bioenergy sorghum stem density increases threefold following internode elongation due to continued accumulation of lignified cell walls and complex regulation of genes involved in cell wall biosynthesis.Biotechnology for biofuels and bioproducts · 2025Article
- Article
- Bioenergy sorghum nodal root bud development: morphometric, transcriptomic and gene regulatory network analysis.Frontiers in plant science · 2024Article
- Maize Internode Autofluorescence at the Macroscopic Scale: Image Representation and Principal Component Analysis of a Series of Large Multispectral Images.Biomolecules · 2023Article
- Automated quantification of fluorescence and morphological changes in pretreated wood cells by fluorescence macroscopy.Plant methods · 2023Article
- A robust and efficient automatic method to segment maize FASGA stained stem cross section images to accurately quantify histological profile.Plant methods · 2022Article
- Preserving the Cellular Tissue Structure of Maize Pith Though Dry Fractionation Processes: A Key Point to Use as Insulating Agro-Materials.Materials (Basel, Switzerland) · 2021Article
- Darkfield and Fluorescence Macrovision of a Series of Large Images to Assess Anatomical and Chemical Tissue Variability in Whole Cross-Sections of Maize Stems.Frontiers in plant science · 2021Article
- Responses of Maize Internode to Water Deficit Are Different at the Biochemical and Histological Levels.Frontiers in plant science · 2021Article
- Parametric mapping of cellular morphology in plant tissue sections by gray level granulometry.Plant methods · 2020Article
- Phenotyping analysis of maize stem using micro-computed tomography at the elongation and tasseling stages.Plant methods · 2020Article
- Crop Phenomics: Current Status and Perspectives.Frontiers in plant science · 2019Review
- A new image-based tool for the high throughput phenotyping of pollen viability: evaluation of inter- and intra-cultivar diversity in grapevine.Plant methods · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCrop species are of increasing interest both for cattle feeding and for bioethanol production. The degradability of the plant material largely depends on the lignification of the tissues, but it also depends on histological features such as the cellular morphology or the relative amount of each tissue fraction. There is therefore a need for high-throughput phenotyping systems that quantify the histology of plant sections.
resultsWe developed custom image processing and an analysis procedure for quantifying the histology of maize stem sections coloured with FASGA staining and digitalised with whole microscopy slide scanners. The procedure results in an automated segmentation of the input images into distinct tissue regions. The size and the fraction area of each tissue region can be quantified, as well as the average coloration within each region. The measured features can discriminate contrasted genotypes and identify changes in histology induced by environmental factors such as water deficit.
conclusionsThe simplicity and the availability of the software will facilitate the elucidation of the relationships between the chemical composition of the tissues and changes in plant histology. The tool is expected to be useful for the study of large genetic populations, and to better understand the impact of environmental factors on plant histology.
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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.