University of Rochester (UR) researchers have developed a technique for imaging and tracking the interactions of microscopic immune cells in a living eye, without using dyes or causing damage.
The method builds on adaptive optics developed at UR more than two decades ago, with time-lapse infrared videography and artificial intelligence (AI) software added.
The videography captures images of immune cell activity in the retina over periods ranging from milliseconds to months, and the AI code identifies the different types of immune cells captured in the images.
Ultra-high-speed imaging of individual red blood cells can simultaneously monitor blood flow and how it changes in response to inflammation.
UR's Jesse Schallek said, "We think this will be a game changer for ophthalmology and for our understanding of retinal diseases that lead to blindness."
From University of Rochester Newscenter
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