Xiaohua Lv

The paper introduces a bioimaging data processing pipeline that improves data transformation efficiency and accelerates downstream tasks by optimizing I/O throughput and reducing memory overhead.

The paper introduces PointTree, a method for accurately reconstructing single-neuron axonal projections from brain imaging data, achieving significantly higher F1-scores than existing methods.

This paper introduces MAP-ENVIVIDERS, a vector mixing-based virus cocktail that significantly improves neurocircuit tracing efficiency and sensitivity compared to existing methods.

This study measures odor-evoked calcium transients in mouse periglomerular cells and finds that onset latencies are narrowly confined within glomerulus-specific groups.

The paper develops a tool for fast and accurate reconstruction of neuronal populations in large brain datasets, achieving results close to ground truth with high automation.