Verena S. Kaynig-fittkau
Goal of my PhD project is to develop image processing and machine learning methods and algorithms to detect and classify and reconstruct neuroanatomical structures like neurons, dendrites and synapses from transmission electron microscopy images. We work in close cooperation with the Institute of Neuroinformatics UniZH | ETH Zurich (INI) and electron microscopy ETH Zurich (EMEZ). In order to get a better understanding of learning and remembering in the brain, neuroanatomists build 3d reconstructions of brain tissue from electron microscopy images. Today most of this work involves time consuming manual image processing, which renders the process very tedious and time consuming. Automating the image processing pipeline will not only make this process faster, but enable the anatomist to look at much larger datasets, hopefully leading to new insights of the functional structure of the brain.