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Our understanding and management of carotid artery disease has largely relied on angiography, US and MR. However, existing modalities cannot accurately identify the spectrum of thrombogenic lesions on the vascular surface or reliably detect structural markers of instability. Thus, the natural history of the different histopathological hallmarks of advanced or complicated plaques is unknown, and many patients with culprit substenotic plaques are misdiagnosed with cryptogenic stroke. An intraluminal approach to directly inspect the endovascular surfaces at unprecedented resolutions would enable detailed structural analysis of carotid plaques and the identification of the root cause of carotid-related strokes. A scanning fiber angioscope (SFA), a high-definition 1.2-mm forward-viewing camera that generates videos by spirally scanning low-power laser beams, was developed for clinical use and employed to analyze the endovascular surfaces of ex vivo human carotid arteries (n=95) and endarterectomized plaques (n=20). Specimens were then imaged with US and micro-CT, and all vascular diagnostic tests obtained in the patients undergoing carotid revascularization were accessed. Imaging findings in the vascular surfaces were then validated by histomorphological analysis of >300 lesions, and an angioscopic classifier for atherosclerosis was generated. Full-color videos at 30Hz and at a resolution >200,000 pixels were generated from the entire endovascular circumference in all specimens with depth-of-focus larger than 5cm in saline solution. The ability to analyze the surface anatomy with unparalleled detail allowed the identification of early, intermediate, advanced and complex atherosclerotic lesions, including ulceration of fibrotic cap, excavation of the necrotic core leading to pseudolumens, intimal flaps, exposed necrotic core to the lumen, erosions, recent and remote intimal hemorrhages, luminal thrombus, eruptive calcified nodules and calcified intimal sheaths and plates. SFA offers a direct view of the endoluminal surfaces with unparalleled resolution and has the potential to revolutionize research, diagnosis, prognosis and image-guided therapy in carotid atherosclerosis.