ArticlePlant physiology2015
phenoVein-A Tool for Leaf Vein Segmentation and Analysis.
Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Article
- The pipelines of deep learning-based plant image processing.Quantitative plant biology · 2025Review
- Combining multispectral and high-resolution 3D imaging for leaf vein segmentation and density measurement.Frontiers in plant science · 2025Article
- Roles of the ArabidopsisInternational journal of molecular sciences · 2024Article
- A rapid method to quantify vein density in CPlant, cell & environment · 2023Article
- Integrated global analysis in spider flowers illuminates features underlying the evolution and maintenance of CHorticulture research · 2023Article
- Anatomical determinants of gas exchange and hydraulics vary with leaf shape in soybean.Annals of botany · 2023Article
- Network feature-based phenotyping of leaf venation robustly reconstructs the latent space.PLoS computational biology · 2023Article
- Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits inPlant phenomics (Washington, D.C.) · 2023Article
- Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components.Plant methods · 2022Article
- The Arabidopsis ATP-Binding Cassette E protein ABCE2 is a conserved component of the translation machinery.Frontiers in plant science · 2022Article
- Leaf Venation Architecture in Relation to Leaf Size Across Leaf Habits and Vein Types in Subtropical Woody Plants.Frontiers in plant science · 2022Article
- Plant leaf veins coupling feature representation and measurement method based on DeepLabV3.Frontiers in plant science · 2022Article
- Principled network extraction from images.Royal Society open science · 2021Article
- The mFrontiers in microbiology · 2021Article
- Prior-Apprised Unsupervised Learning of Subpixel Curvilinear Features in Low Signal/Noise Images.Biophysical journal · 2020Article
- Variation within laminae: Semi-automated methods for quantifying leaf venation using phenoVein.Applications in plant sciences · 2020Article
- LeafScope: A Portable High-Resolution Multispectral Imager for In Vivo Imaging Soybean Leaf.Sensors (Basel, Switzerland) · 2020Article
- A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction.Plants (Basel, Switzerland) · 2020Article
- A Fast and Automatic Method for Leaf Vein Network Extraction and Vein Density Measurement Based on Object-Oriented Classification.Frontiers in plant science · 2020Article
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Authors and funding
9 authors.
Funding
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Abstract
Precise measurements of leaf vein traits are an important aspect of plant phenotyping for ecological and genetic research. Here, we present a powerful and user-friendly image analysis tool named phenoVein. It is dedicated to automated segmenting and analyzing of leaf veins in images acquired with different imaging modalities (microscope, macrophotography, etc.), including options for comfortable manual correction. Advanced image filtering emphasizes veins from the background and compensates for local brightness inhomogeneities. The most important traits being calculated are total vein length, vein density, piecewise vein lengths and widths, areole area, and skeleton graph statistics, like the number of branching or ending points. For the determination of vein widths, a model-based vein edge estimation approach has been implemented. Validation was performed for the measurement of vein length, vein width, and vein density of Arabidopsis (Arabidopsis thaliana), proving the reliability of phenoVein. We demonstrate the power of phenoVein on a set of previously described vein structure mutants of Arabidopsis (hemivenata, ondulata3, and asymmetric leaves2-101) compared with wild-type accessions Columbia-0 and Landsberg erecta-0. phenoVein is freely available as open-source software.
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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.