Geoffrey Wilson Meissner

The paper annotates 6,368 neurons across 1,772 driver lines in Drosophila using electron microscopy data and manual scoring, estimating the fraction of the central nervous system labeled by the collection.

The paper presents the complete connectome of the Drosophila male central nervous system and compares it to the female connectome, identifying sex-specific and dimorphic neuronal types.

The paper presents a connectomic dataset of a larval zebrafish brain, enabling circuit analysis through synaptic and neuronal annotations.

The paper updates a catalogue of split-GAL4 driver lines for descending neurons in Drosophila melanogaster by adding new cell types and driver lines.

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

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.

PatchPerPixMatch automates 3D search for neuronal morphologies in Drosophila GAL4 line data by combining segmentation and efficient matching.

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 generates split-GAL4 driver lines to map and functionally characterize 82 cell types in the Drosophila lateral horn, revealing connectivity with mushroom bodies and identifying cell types that influence behavior.