|since 2012||Ph. D. student, Bioinformatics|
Buchmann Institute for Molecular Life Sciences
Johann-Wolfgang-Goethe-Universität Frankfurt am Main (Goethe University Frankfurt am Main, Germany)
Fluorescence microscopy, such as light-sheet-based fluorescence microscopy (LSFM) allows to acquire three dimensional biological specimen with high spatio-temporal resolution. However, the image data amount and complexity drastically increases demanding for automated methods in order to the extract meaningful quantitative information. With a background in bioinformatics, I develop tools intended to extract quantitative data from LSFM image data for large scale pattern analysis. I focus on the development and application of task-dependent image segmentation and algorithms for object identification, tracking and lineaging. I am particularly involved and active in the projects outlined below.
Development of Arabidopsis thaliana’s root system
We employ LSFM to study the dynamics of root system development in Arabidopsis thaliana. The plant is imaged under close-to-natural growth conditions which is essential for long-term observations of several days. In collaboration with Daniel von Wangenheim, a plant imaging and data processing pipeline has been successfully established to track the movement and lineage of all cells involved in lateral root development of Arabidopsis thaliana. This data is analyzed for spatial and temporal patterns of cell dvisions.
Developmental biology with Tribolium castaneum
The red flour beetle Tribolium castaneum is studied in our group as a model organism for developmental biology. We established non-invasive long-time fluorescence live imaging for Tribolium embryos using LSFM (Strobl & Stelzer, 2014). A new mounting technique allows multi-view observation of the complete Tribolium embryogenesis (up to 50 hours). Major embryogenic events such as gastrulation, germ band elongation, germ band retraction and dorsal closure are observed and analyzed in the same specimen. The embryo survives the imaging process, develops into an adult and produces fertile progeny. Together with Frederic Strobl, patterns of key developmental processes at cellular resolution are studied by following the movement and lineage of individiual cells in Troblium castaneum embryos.
Three dimensional multicellular spheroids have become an important model in 3D cell biology. Most cellular systems such as tissues have a three-dimensional organization. In our group, spheroids serve as a model system to study aspects of the development of tissue, living organisms or tumor growth. In the latter spheroids serve as a model for tumors in the living organism and are used for drug and toxicity screening assays such that different drug candidates are evaluated in terms of their therapeutic efficacy. For that, we employ fluorescence microscopy, biochemical and molecular biology-based assays. My particular contribution is to apply three-dimensional segmentation and tracking approaches in order to quantitatively evaluate drug effects on tumor spheroids of human breast cancer T47D cells from the spheroid down to the subcellular level.
Schäfer, T., Schäfer, H. & Schmitz, A., Image database analysis of Hodgkin lymphoma. Comput. Biol. Chem.46, 1–7 (2013) PubMed