Scalable AI tracks motion from single molecules to wildebeests
University of Michigan researchers have developed a tool powered by artificial intelligence that can help them examine the behavior of a single molecule out of a sea of information in the blink of an eye—or at least overnight.
Understanding the behavior of single molecules is important: it can lead to knowledge of different cellular processes or track how diseases begin and progress. To track the behavior of single molecules, researchers tag the molecules with what's called a fluorophore. They excite these fluorophores with a laser, then use powerful microscopes to follow the behavior of the tagged molecules over time.
But ...