Multimodal Plant Image Analysis
The Image Analysis group seeks B.S./M.S. students for the following research topics:
1. Development of algorithmic tools for quantitative analysis of shoot/root images.
High-throughput imaging facilities enable nowadays biologists to generate a large amount of
multimodal image data such as visual light, fluorescence, infrared or 3D images which has
to be processed and analyzed in automated manner. Interested students will be given the
opportunity to perform an applied research and development of algorithmic tools for
structure-preserving image enhancement, segmentation, registration, classification, and
quantitative trait derivation.
2. Simulation of plant physiology using 2D and 3D image data.
In addition to conventional descriptors of plant morphology, biologists are interested in assessment
of functional plant properties relevant to biomass production. However, physiological plant parameters such as light interception and photosynthetic activity cannot be directly measured for the entire plant. The goal of this research effort is to develop and evaluate a computational model for quantitative assessment of physiological plant properties using 2D and 3D image data.
3. Design and implementation of data base interfaces for automated access of image data.
Efficient access of large image data is the first step of image processing pipeline. Interested students are welcome to perform practicals dedicated to design and implementation of data base interfaces for automated access of large image data. This work will be carried out in close cooperation with
We welcome students with the educational background in informatics, mathematics, physics, or engineering that have experience in software development in one or more scientific coding languages, i.e. Matlab, Python, Java, C, shell scripting.
Please visit our website for more information on the work of our group.
If you are interested in these topics, please contact Dr. E. Gladilin for further information.