Segmentation of Neurons

From October 2019 to April 2021, I worked at the Max Planck Institute for Neurobiology. Here I completed my Physics Bachelor thesis on “Analysis of Neuronal Morphology Using Semantic Segmentation of Point Clouds” and co-authored the peer-reviewed publication “SyConn2: Dense synaptic connectivity inference for volume EM”. My contribution was the development of a multi-processing pipeline for semantic segmentation of neuron compartments using 3D point cloud models. This processing pipeline was integrated into the connectomic analysis toolkit SyConn2. Within this scope, I also wrote MorphX, a toolkit for exploration and segmentation of 3D morphologies. In addition, I led a team of 5 students performing data annotations.