Qingming Luo

The paper develops Macaca-Star, a pipeline for automated macaque brain registration across modalities, addressing deformation and variability challenges in ex vivo samples.

This study integrates molecular and morphological data to classify cortical neurons and map their connectomes, revealing organizational principles of brain-wide networks at the single-cell level.

This study identifies region-specific and subtype-specific genes in mouse forebrain cholinergic neurons using spatial multi-omics, revealing low mRNA-protein correlation and functional similarity.

This paper introduces BRIEF, a method for compressing biomedical data with high fidelity and low bandwidth, enabling efficient sharing and downstream analysis.

This study shows microglia regulate sleep through Gi-coupled signaling, Ca2+ signaling, and suppression of norepinephrine transmission.

The paper identifies 31 projectome-defined subtypes of hypothalamic neurons and six modular subnetworks, revealing the organization of axon projections and their functional roles.

The paper characterizes the organization of midbrain cholinergic neurons by reconstructing their axonal projections and identifying distinct subtypes based on their connectivity patterns.

The paper creates a whole-brain connectivity atlas of glutamatergic and GABAergic neurons in the mouse dorsal and median raphe nucleus, revealing distinct projection patterns and input sources.

The paper maps functional domains and subnetworks in the cortico-basal ganglia-thalamic loop in mice, revealing complex patterns of convergence and divergence.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

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.

This paper introduces BrainsMapi, a robust image registration interface for large volume brain datasets, achieving accurate registration of cellular-level data up to 20 TB.

The paper characterizes serotonin neuron subtypes in the dorsal and medial raphe nuclei using single-cell RNA sequencing and maps their axonal projections to understand their functional diversity.

The paper introduces TeraVR, a virtual reality system for precise 3-D neuronal morphology reconstruction in whole mouse brains, enabling collaborative and efficient annotation of complex neuronal structures.

The paper introduces a light-inducible recombinase system for targeted genomic modifications in neurons, enabling precise labeling and functional analysis of neural circuits in live mouse brains.

The paper demonstrates that loud music and sound can open the blood-brain barrier, offering new insights into BBB mechanisms and non-invasive drug delivery.

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.

The paper uses genetic labeling and high-resolution microscopy to reveal fine-grained subtypes of cortical interneurons in mice, showing distinct connectivity patterns.

This paper introduces ST-LFV, a method that improves weak signal identification in neuronal images, achieving higher recall and precision than existing tools for large-scale neurite tracing.