Fluorescent imaging tracks metabolism of cells in real time

AI Summary

Cornell researchers developed a faster two-photon fluorescence imaging technique that can track cell metabolism in real time. The method may allow researchers to screen potential therapeutic treatments more quickly, and the findings were published in Science Advances.

Cornell researchers have designed a new, faster form of two-photon fluorescence imaging for observing cell metabolism in real time, a method that could enable quicker screening of new therapeutic treatments. The findings were published Sept. 4 in Science Advances. The co-lead authors are former postdoctoral researcher Lu Ling, Ph.D. '20, and doctoral student Jack Crowley, M.S. '22.