Hideo Otsuna

This paper reveals that dopamine release is highly localized to synapse-like structures, challenging the idea that neuromodulators act diffusely.

The paper describes a collection of split-GAL4 driver lines for targeting specific neuron types in Drosophila, enabling functional and molecular studies.

The paper develops an automated image processing tool to quantify bacterial burdens in zebrafish larvae by detecting their borders to distinguish internal from external bacteria.

The paper investigates how 3D genome organization, specifically through Cohesin, influences gene co-expression in single cells and reveals its role in maintaining long-range chromatin interactions.

NeuronBridge enables rapid morphological matching of neurons across large datasets imaged with different modalities.

The paper identifies a neuronal circuit in Drosophila that transforms learned olfactory valences into wind-oriented movement by integrating inputs from memory compartments.

The paper identifies 196 cell types in the Drosophila ventral nerve cord using split-GAL4 and links them to a connectomic dataset for circuit analysis.

The paper provides a searchable image resource of Drosophila GAL4-driver expression patterns at single neuron resolution to improve cell type identification and split-GAL4 combination prediction.

The paper develops a method to rapidly reconstruct neural circuits with single synapse resolution using tissue expansion and lattice light sheet microscopy, validated in Drosophila.

The paper generates genetic tools to target 138 SEZ cell types in Drosophila and characterizes their morphology and connectivity.

This paper creates high-resolution brain and ventral nerve cord templates for Drosophila using advanced imaging and registration techniques, showing improved accuracy and efficiency compared to existing templates.

The paper presents a detailed connectome of the adult Drosophila central brain, including new methods for data analysis and biological insights into neural circuit organization.

The paper maps Drosophila central brain lineages to show how lineage identity and temporal patterning drive neuronal diversity and complexity.

A dense electron-microscopy reconstruction of half the fly central brain, with nearly every cell typed and queryable online, turns months of tracing partners into a database lookup.

A Fiji plug-in matches expression patterns across thousands of Drosophila driver lines, so pairs whose overlap is restricted to a handful of neurons can be found by query.

The paper identifies temporal RNA-binding protein gradients in Drosophila neuroblasts that regulate intermediate neural progenitor fate.