Sujun Zhao

This paper introduces MMB, a framework that encodes neuronal morphology into symbolic representations, revealing region-specific and scale-dependent principles of neuronal organization across the brain.

This paper constructs a mouse brain atlas based on dendritic microenvironments, revealing new subregions and improving projection mapping by integrating spatial and transcriptomic data.

The paper introduces a method to detect optimal feature subspaces for clustering neurons and applies it to a large mouse neuron dataset, outperforming existing cell typing approaches.

The paper introduces MorphoHub, a platform for generating petabyte-scale multi-morphometry data, enabling high-quality analysis of neuronal structures in whole brain datasets.

Complete morphologies of 1,708 neurons, sparsely labelled and imaged whole-brain with fMOST, expose region-specific long-range projection rules and finer diversity than current transcriptomic subtypes capture.