Yufeng Liu

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.

The paper introduces LetsACT, a multimodal integration platform that combines morphological, spatial, and transcriptomic data to analyze morpho-genetic variations in human cortical neurons associated with tumor infiltration.

This paper develops a new method for isolating extracellular vesicles from plasma and identifies potential biomarkers for Parkinson's disease.

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

NIEND enhances neuronal images to improve reconstruction quality and efficiency, achieving higher F1 scores and faster processing times.

BigNeuron benchmarks automatic neuron reconstruction algorithms using gold standard annotations and image quality metrics, showing that consensus methods outperform individual algorithms.

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.