Wyatt L. Korff

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.

A FIB-SEM connectome of the male Drosophila right optic lobe sorts ∼53,000 neurons into 727 types, with neurotransmitter predictions and 577 matched split-GAL4 lines.

The paper improves a GABA sensor, iGABASnFR2, with higher sensitivity and faster kinetics, enabling better in vivo imaging of GABAergic transmission.

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 introduces morphoFISH, a method combining imaging and spatial transcriptomics to identify new neuronal cell types in the mouse brain.

The paper releases high-resolution 3D imaging and nucleus segmentations of seven tissues from a P7 mouse using FIB-SEM and machine learning.

The paper identifies a cell type in Drosophila that detects translational optic flow and is essential for forward walking.

Roughly 23 thousand traced neurons and 10 million TBars of the male Drosophila nerve cord, reconstructed from electron microscopy, typed, and queryable in neuPrint down to motor neurons.

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 identifies a mutation that enhances the sensitivity of a fluorescent voltage indicator, improving its ability to detect both spiking and subthreshold voltage signals in multiple organisms.

The paper develops fast and sensitive GCaMP indicators for neural activity imaging, achieving ultra-fast kinetics and high sensitivity.

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.

This study maps cell types and axon projections in the central nucleus of the amygdala using single-cell RNA-sequencing and spatial techniques, revealing distinct molecular and connectivity patterns.

The paper identifies a population of descending neurons in Drosophila that regulate wingbeat amplitude through a population code during flight.

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

The paper introduces EASI-FISH, a method for spatial gene expression profiling in thick brain sections, and applies it to discover novel subregions in the lateral hypothalamus.

The paper provides a systematic nomenclature for the Drosophila ventral nervous system, extending an existing framework to include thoracic and abdominal neuromeres.

The paper describes engineering eFRET voltage indicators with positive-going fluorescence responses by modifying microbial rhodopsins.

The paper reconstructs 1,000 projection neurons in the mouse brain, revealing new cell types and organizational principles of long-range connectivity.

This study uses optogenetics to analyze how descending neurons in Drosophila influence behavior by mapping behavioral responses to neuronal activation.

The paper maps descending sensory-motor pathways in Drosophila by creating transgenic lines and analyzing connectivity between brain and ventral nerve cord neuropils.

The paper constructs a transcriptomic atlas of the thalamus, revealing a single spectrum of neuronal identities that serve as molecularly-defined filters for cortical modalities.