Image Analysis for High-throughput Phenotyping
In the last years high-throughput analysis methods became state-of-the-art in the life sciences. One of the latest developments are automatic greenhouse systems for high-throughput phenotyping. Using such a system it is possible to screen plants non-destructive over a period of time by means of image acquisition techniques. During such a screening an amount of images in different spectra such as visible, near-infrared and ultraviolet spectra are recorded and have to be analysed applying sophisticated image analysis algorithms.
Here, we present the first developement of an image analysis pipeline implemented as plugin for ImageJ (an open source image processing software). This plugin provides the possibility to analyse colour images of barley plants which are taken during a screening in two different views (top view and side view). Within the analysis different parameters for each plant such as height, width and plant area are calculated for the duration of the screening. The results of the analysis can be used to derive new biological insights.
A. Hartmann, T. Czauderna, R. Hoffmann, N. Stein and F. Schreiber. HTPheno: An Image Analysis Pipeline for High-Throughput Plant Phenotyping. BMC Bioinformatics, 12:e148, 2011.