Hyun Jee Lee

This study develops a microfluidic device to simultaneously image neural activity and behavior in chemically stimulated, head-fixed C. elegans, showing that greater movement freedom leads to more naturalistic responses.

The paper uses network modularity to analyze time-varying functional connectivity in single-cell neural recordings, showing how context and network state influence module organization in C. elegans and whole-brain activity.

WormID-Bench evaluates methods for neuron detection, identification, and tracking in C. elegans using a multi-laboratory dataset, highlighting the need for improved computational approaches.

The paper harmonizes whole-brain imaging datasets from multiple labs to enable automated neuron identification and identifies factors influencing neuron positioning in C. elegans.

This paper develops and provides a set of optimized GCaMP reporters for C. elegans functional imaging, offering improved dynamic range, varied kinetics, and subcellular localization.