HTPheno: An image analysis pipeline for high-throughput plant phenotyping

Background In the last few years high-throughput analysis methods have become state-of-the-art in the life sciences. One of the latest developments is automated greenhouse systems for high-throughput plant phenotyping. Such systems allow the non-destructive screening of plants over a period of time...

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Veröffentlicht in:	BMC bioinformatics Jg. 12; H. 1; S. 148
Hauptverfasser:	Hartmann, Anja, Czauderna, Tobias, Hoffmann, Roberto, Stein, Nils, Schreiber, Falk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 12.05.2011 BioMed Central Ltd BMC
Schlagworte:	Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer programs Hordeum - genetics Hordeum vulgare Image processing Image Processing, Computer-Assisted - methods Life Sciences Microarrays Networks analysis Phenotype Phylogeny (Botany) Plants - genetics Software Germany Analyse Colour Image Colour Space Side View Image Phenotypic Parameter Automatic Image Processing
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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