Leukocyte-endothelial interactions have been well-characterized by intravital microscopy in mice. Quantitative parameters descriptive of these dynamic processes, e.g. the level of leukocyte rolling, adhesion and extravasation, can detect and track inflammation. Despite technology available to study individual cell motion noninvasively in human skin, we are not aware of any published exploratory or clinical studies. In this preliminary study, we explore the feasibility to extract parameters characteristic of individual cell motion in the postcapillary vessels of healthy human skin from videos taken by a noninvasive clinical confocal microscope (Vivascope 1500). The microscope is capable of real-time imaging of individual cells at 9 frames per second. We took videos of ten cutaneous vessels per each of two body sites (volar forearm and upper anterior chest) of ten healthy subjects. We then characterized the dynamic motion of cells via subsequent video analysis by extracting the following parameters: blood flow velocity, number of adherent leukocytes (stationary <30 s), and number and diameter of vessels. We observed variation in blood flow velocity within 1 minute in the same vessel, between vessels within an 8x8 mm field of view, and within two different body sites. Leukocyte adhesion, more commonly associated with inflammatory conditions, can also be observed in healthy skin. Further studies are needed to test the potential of this approach to detect inflammation.