Norman Rzepka

The paper uses synchrotron X-ray nanotomography to link subcellular anatomy to odor response diversity in mouse olfactory bulb projection neurons.

The paper introduces mito-SegEM, a method for efficiently mapping mitochondria in electron microscopy volumes using webKnossos, achieving accurate and efficient reconstruction across tissues.

This paper develops an automated deep learning method for ischemic stroke lesion segmentation in mouse MRI, achieving high agreement with manual segmentation.

This paper describes OME-Zarr, a cloud-optimized bioimaging file format developed through community collaboration to improve scalability and data access.