ArgiNLS

ArgiNLS (Arginine-rich Nuclear Localization Signal) is a genetic tagging strategy developed by Dr. Eric Szelenyi and Dr. Sam Golden that flexibly and safely achieves fluorescent-protein nuclear restriction across the brain, facilitating machine-learning-based segmentation of single cells at scale.

Quantifying labeled cells in fluorescent microscopy is a fundamental challenge in modern biology. Traditional nuclear localization signals have limited effectiveness, while alternative approaches can compromise cellular health. ArgiNLS improves discrimination of individually labeled cells while maintaining cellular compatibility.