grasviq: an image analysis framework for automatically quantifying vein number and morphology in grass leaves
Robil J, Gao K, Neighbors C, Boeding M, Carland F, Bunyak F, McSteen P. grasviq: an image analysis framework for automatically quantifying vein number and morphology in grass leaves. The Plant Journal 2021, 107: 629-648. PMID: 33914380, DOI: 10.1111/tpj.15299.Peer-Reviewed Original ResearchConceptsVein traitsClassical computer vision techniquesGrass speciesComputer vision techniquesParallel venationImage data setsImage analysis frameworkProductivity of plantsVision techniquesAuxin biosynthesisMutant screensComputational image analysisInterveinal distanceGenetic experimentsVein densityOryza sativaTransport mutantsImage analysis programVein patternsLeaf piecesVein numberZea maysReticulate venationManual quantificationGrass leaves
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply