% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Bhler:280979,
      author       = {Bühler, Jonas and Rishmawi, Louai and Pflugfelder, Daniel
                      and Huber, Gregor and Scharr, Hanno and Hülskamp, Martin
                      and Koornneef, Maarten and Schurr, Ulrich and Jahnke,
                      Siegfried},
      title        = {pheno{V}ein - {A} tool for leaf vein segmentation and
                      analysis},
      journal      = {Plant physiology},
      volume       = {169},
      number       = {4},
      issn         = {1532-2548},
      publisher    = {American Society of Plant Biologists},
      reportid     = {FZJ-2016-00690},
      pages        = {2359–2370},
      year         = {2015},
      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.},
      cin          = {IBG-2},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582) / ALCUE-KBBE - Towards a
                      Latin America $\&$ Caribbean Knowledge Based Bio-Economy
                      (KBBE) in partnership with Europe (264266) / DPPN -
                      Deutsches Pflanzen Phänotypisierungsnetzwerk
                      (BMBF-031A053A)},
      pid          = {G:(DE-HGF)POF3-582 / G:(EU-Grant)264266 /
                      G:(DE-Juel1)BMBF-031A053A},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000368472700003},
      pubmed       = {pmid:26468519},
      doi          = {10.1104/pp.15.00974},
      url          = {https://juser.fz-juelich.de/record/280979},
}