Yufeng Zhao

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

The paper uses sequence-to-function machine learning models to predict and design improved red fluorescent protein variants, identifying variants with enhanced photophysical properties.

This paper introduces two new far-red fluorescent GECIs, FR-GECO1a and FR-GECO1c, characterized for their Ca2+ sensitivity and performance in neuronal imaging.

The paper develops two high-performance genetically encoded biosensors for citrate imaging in mammalian cells, showing their ability to detect both steady-state and perturbed citrate concentrations.