Dawen Cai

The paper maps serotonin autoreceptor expression in Drosophila using single-cell sequencing and genetic labeling, identifying 5-HT2A and 5-HT7 in serotonergic neurons.

The paper introduces GLOBE, a brain-wide single-cell recording technology, and demonstrates its use in capturing Fos transcriptional activity across a mouse brain over time.

This study investigates the roles of PlexinA2, PlexinA4, and NCAM in the development of mossy fibers in the hippocampus, revealing distinct and overlapping functions in axon bundling and targeting.

This paper demonstrates a method for implanting wireless neural dust motes with subcellular-diameter electrodes into rat cortex with high success rates and minimal invasiveness.

The paper shows that Wnd/DLK signaling in Drosophila motoneurons is activated only when synaptic terminals are completely removed, not when they are partially spared.

The paper introduces a standardized, open-source protocol for noninvasive joint injury in mice, resulting in post-traumatic osteoarthritis, and provides tools for reproducibility and analysis.

This study identifies sensory fiber types in mouse TMJ tissues using immunohistochemistry, finding peptidergic fibers dominate with minimal non-peptidergic nociceptors.

The paper introduces a parallelly distributed microscope and software system for high-throughput multispectral 3D imaging with high resolution and data throughput.

The paper develops a platform for storing, visualizing, and analyzing large-scale 3D images in HPC environments using a scalable storage format and web-based annotation tools.

This paper develops a compression method that achieves high compression ratios with minimal visual and quantitative errors for single-molecule imaging data.

This study examines sex differences in dopamine release in the nucleus accumbens and dorsolateral striatum of rats, showing effects of social housing and repeated stimulation, with hormone dependence observed in some differences.

This paper introduces a method using non-local correlation in the embedding space to improve cell instance segmentation in EM images, reducing over- and under-segmentation issues.

This study compares lossless compression methods for microscopy data, recommending BLOSC with ZSTD for optimal compression ratios across various conditions.

The paper modifies circuit parameters in Drosophila mushroom bodies to assess how changes affect odor selectivity and discrimination.

The paper introduces nCorrect, an algorithm that improves neuron tracing by reanalyzing existing traces to produce more physiologically-relevant reconstructions using a 4D minimization algorithm and a new similarity metric.

The paper localizes neurons around subcellular-scale carbon fiber electrodes and shows their placement affects spike sorting reliability.

The paper identifies a spinal circuit that transmits innocuous cool sensations by characterizing a specific population of interneurons.

nGauge provides an extensible Python toolkit for analyzing neuron morphology data, improving data compatibility and enabling advanced analysis and visualization.

This paper introduces an unsupervised method for tracing neurons in multispectral Brainbow images, achieving more accurate results than existing methods by reducing segmentation and continuity errors.

The paper uses targeted scRNA-seq and multi-informatic analysis to characterize neural differentiation in Drosophila brain neuroblast lineages and provides a visualization tool for gene function curation.

The paper introduces a light microscopy method called spectral connectomics to map neural connectivity with molecular specificity by combining genetic labeling and immunostaining.

TraceMontage merges multiple neuronal traces into a single result, improving accuracy and speed for densely labeled samples.

This study introduces Lineage Tracker Bitbow, a multi-spectral lineage tracing system for Drosophila, and uses it to map neuronal lineages and analyze cis-regulatory elements in lineage-specific gene expression.

The paper develops nTracer, an ImageJ plugin for reconstructing neuronal morphology in densely labeled mouse brains using multispectral tracing.

The paper proposes a recurrent neural network for automated neural tracing in multispectral 3D Brainbow images, showing good performance on mouse brain data.