#phaseimaging

AI-Powered Imaging

Scientists have developed a groundbreaking computational quantitative phase imaging (QPI) technique that eliminates the need for traditional dye labeling in microscopy. By exploiting chromatic aberration—normally a flaw in optical systems—researchers generated through-focus image stacks from a single exposure using red, green, and blue light captured with standard RGB cameras. A specially trained generative AI model, based on a Conditional Variational Diffusion Model (CVDM), then reconstructs high-quality, label-free images that reveal detailed structural information of biological specimens. This method was validated on real clinical samples, such as red blood cells in urine, demonstrating better clarity and fewer artifacts than existing techniques. The innovation promises more accessible, efficient, and cost-effective diagnostics in clinical microscopy.