Understanding cellular metabolism – how a cell uses energy- could be key to treating a wide array of diseases, including vascular diseases and cancer.
While many techniques can measure these processes among tens of thousands of cells, researchers have been unable to measure them at the single-cell level.
Researchers at the University of Chicago’s Pritzker School of Molecular Engineering and Biological Sciences Division have developed a combined imaging and machine learning technique that can, for the first time, measure a metabolic process at both the cellular and sub-cellular levels.
