Optical coherence tomography angiography (OCTA) is an invaluable diagnostic technology for non-invasive, label-free vascular imaging in vivo. However, since it relies on detecting moving cells from consecutive scans, high-resolution OCTA is susceptible to tissue motion. LighTopTech developed a novel OCTA technique named ultrahigh-resolution factor angiography (URFA) by modeling repeated scans as generative latent variables, with a common variance representing shared features and a unique variance representing motion. The unique variance is largely separated by iteratively maximizing the combined log-likelihood probability of these variances. Vessels with dynamic flow are extracted from tissue structure by integrating high-order factors. Compared with the conventional approach, URFA reduces motion artifacts by nearly 50% on average, evaluated on local differences.