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...

Full description

Saved in:

Bibliographic Details
Published in:	BMC bioinformatics Vol. 12; no. 1; p. 148
Main Authors:	Hartmann, Anja, Czauderna, Tobias, Hoffmann, Roberto, Stein, Nils, Schreiber, Falk
Format:	Journal Article
Language:	English
Published:	London BioMed Central 12.05.2011 BioMed Central Ltd BMC
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!