UCLA researchers have developed a deep learning framework that reconstructs high-resolution fluorescence lifetime images from data acquired at up to five times lower spatial resolution, offering a path toward faster tissue imaging without complex hardware.
AI framework reconstructs high-resolution fluorescence lifetime images from faster, lower-resolution scans
