"AI-Enhanced Imaging Revolutionizes Retinal Analysis with 100X Speed and Superior Quality"

Researchers at the National Institutes of Health have utilized artificial intelligence (AI) to significantly improve the speed and quality of retinal cell imaging, making it 100 times faster and enhancing image contrast 3.5-fold. By integrating AI with adaptive optics optical coherence tomography (AO-OCT), they have developed a deep learning algorithm called P-GAN, which successfully de-speckles images of the retinal pigment epithelium (RPE) cells, reducing imaging acquisition and processing time by about 100-fold. This advancement provides a better tool for evaluating age-related macular degeneration (AMD) and other retinal diseases, potentially revolutionizing clinical imaging and research in the field.