Sungmoo Lee

The paper develops a genetically encoded voltage indicator to measure subthreshold voltage dynamics in neurons, revealing electrical diversity and local computation.

The paper introduces improved bioluminescent calcium sensors and opsin variants for non-invasive imaging and synaptic transmission in C. elegans.

The paper uses fluorescent voltage and calcium indicators to image electrical activity in retinal ganglion cells of rd1 mice, showing cellular precision and millisecond resolution.

This paper introduces squeezed light field microscopy (SLIM), a method for high-speed 3D volumetric imaging, and demonstrates its application in tracking blood cell motion and neural activity in vivo.

This paper introduces miniML, a deep learning framework for automated synaptic event detection that outperforms existing methods in precision and recall across diverse preparations and species.

The paper improves positively tuned voltage indicators by enhancing their kinetics and contrast for better spike detection.

This paper introduces positively tuned GEVIs that enhance spike detection in vivo with standard imaging systems, offering higher temporal resolution than calcium indicators.