We will develop multiplexed spatiotemporal dynamic analysis methods for metabolic activity based on genetic-encoded sensors, to collect hundreds of metabolic phenotypic data on single cells and establish a new research paradigm for single-cell metabolic phenomics. These methods may empower research such as physiology, pathology, disease diagnosis, drug discovery, and biomanufacturing.