ArticlePlant physiology2011
Leaf extraction and analysis framework graphical user interface: segmenting and analyzing the structure of leaf veins and areoles.
Article in Plant physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
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Who cites it
33 citing papers in PubMed, 113 citations in OpenAlex.
- Innovative multi-scale approach to study the phenotypic variation of seedling leaves in four weedy Amaranthus species.Plant biology (Stuttgart, Germany) · 2025Article
- Significant correlation between leaf vein length per unit area and stomatal density: evidence from Red Tip and Chinese photinias.Frontiers in plant science · 2024Article
- Network feature-based phenotyping of leaf venation robustly reconstructs the latent space.PLoS computational biology · 2023Article
- Diurnal Regulation of Leaf Photosynthesis Is Related to Leaf-Age-Dependent Changes in Assimilate Accumulation inPlants (Basel, Switzerland) · 2023Article
- Scaling relationships of leaf vein and areole traits versus leaf size for nine Magnoliaceae species differing in venation density.American journal of botany · 2022Article
- Quantification of spatial metal accumulation patterns in Noccaea caerulescens by X-ray fluorescence image processing for genetic studies.Plant methods · 2021Article
- MFCIS: an automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology.Horticulture research · 2021Article
- LeafScope: A Portable High-Resolution Multispectral Imager for In Vivo Imaging Soybean Leaf.Sensors (Basel, Switzerland) · 2020Article
- Identification of Additive-Epistatic QTLs Conferring Seed Traits in Soybean Using Recombinant Inbred Lines.Frontiers in plant science · 2020Article
- THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content.Sensors (Basel, Switzerland) · 2019Article
- Photometric stereo for three-dimensional leaf venation extraction.Computers in industry · 2018Article
- Holistic and component plant phenotyping using temporal image sequence.Plant methods · 2018Article
- Improved non-destructive 2D and 3D X-ray imaging of leaf venation.Plant methods · 2018Article
- Non-invasive absolute measurement of leaf water content using terahertz quantum cascade lasers.Plant methods · 2017Article
- NET: a new framework for the vectorization and examination of network data.Source code for biology and medicine · 2017Article
- Do Vascular Networks Branch Optimally or Randomly across Spatial Scales?PLoS computational biology · 2016Article
- Linking leaf veins to growth and mortality rates: an example from a subtropical tree community.Ecology and evolution · 2016Article
- Mechanical Stress Induces Remodeling of Vascular Networks in Growing Leaves.PLoS computational biology · 2016Article
- phenoVein-A Tool for Leaf Vein Segmentation and Analysis.Plant physiology · 2015Article
- Testing Foundations of Biological Scaling Theory Using Automated Measurements of Vascular Networks.PLoS computational biology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interest in the structure and function of physical biological networks has spurred the development of a number of theoretical models that predict optimal network structures across a broad array of taxonomic groups, from mammals to plants. In many cases, direct tests of predicted network structure are impossible given the lack of suitable empirical methods to quantify physical network geometry with sufficient scope and resolution. There is a long history of empirical methods to quantify the network structure of plants, from roots, to xylem networks in shoots and within leaves. However, with few exceptions, current methods emphasize the analysis of portions of, rather than entire networks. Here, we introduce the Leaf Extraction and Analysis Framework Graphical User Interface (LEAF GUI), a user-assisted software tool that facilitates improved empirical understanding of leaf network structure. LEAF GUI takes images of leaves where veins have been enhanced relative to the background, and following a series of interactive thresholding and cleaning steps, returns a suite of statistics and information on the structure of leaf venation networks and areoles. Metrics include the dimensions, position, and connectivity of all network veins, and the dimensions, shape, and position of the areoles they surround. Available for free download, the LEAF GUI software promises to facilitate improved understanding of the adaptive and ecological significance of leaf vein network structure.
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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.