Research Group Image Analysis
Group leader: Dr. Evgeny Gladilin
The research group image analysis focuses on the development of advanced algorithms and an integrative software environment for quantitative analysis of high-throughput image data from multi-modal plant imaging and phenotyping platforms.
Rapid advances in automated imaging of plants enable researchers to collect large amounts of image data captured with RGB, near-infrared, fluorescence and 3D cameras. To derive useful information about structural, developmental and functional properties of plants from raw image data, efficient computational solutions for integrative image analysis are required. The research foci of the group include development of methods for image segmentation and fusion, quantitative traits derivation, multivariate data classification, computational modeling and visualization.
The group is closely collaborating with plant and cell biologists, genetics, biochemists and bioinformaticians as well as computer scientists.