Adrian Andreas Wanner

The paper classifies neuron types and their connectivity in the zebrafish olfactory bulb using ultrastructural features from electron microscopy.

The paper integrates transcriptomic, morphological, and electrophysiological data to define neuron types in mouse visual cortex and predict their projection targets.

The paper presents a functional connectomics dataset of mouse visual cortex, combining calcium imaging with EM reconstruction to study neural circuits and their connectivity.

This paper introduces a self-supervised image restoration method for X-ray holographic nanotomography to improve resolution, contrast, and speed in neuronal imaging.

This paper improves TEM imaging speed by using beam deflection to capture multiple image tiles, increasing efficiency for millimeter-scale brain tissue imaging.

This paper introduces engineering solutions to enable non-destructive X-ray tomography of brain tissue at ultrastructural resolution, validated against electron microscopy.

The paper develops probabilistic generative models for neural connectomes across species, showing that simple design principles can accurately replicate structural and functional properties.

This paper introduces an in situ X-ray assisted staining method for electron microscopy, enabling real-time observation of staining kinetics and development of a diffusion-reaction-advection model for osmium accumulation in large biological samples.

The paper shows that the olfactory bulb's wiring diagram enables odor representation whitening by suppressing redundant responses through reciprocal inhibition.