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The adhesion of flowing cells to the vascular surface occurs in many physiological and pathological processes. The Parallel flow chamber (PFC) system is usually used to investigate this transport-dependent process. Understanding of the cells locomotion near the bottom, cells collision with the wall and the spatial distribution of the colliding particles in the chamber bottom should have useful in modeling of the cells adhesion and analyzing of the PFC biological experimental data. Here, with ADINA-F finite element analysis software, the collision events of small spherical particles pouring into inlet to PFC are numerically simulated for different wall shear stresses, 0.25, 0.5, 1, 2, 3 and 4dyn/cm2. And, by tracing the trajectory of the particles from the inlet to the bottom of flow chamber, the spatial distribution of the colliding particles in the PFC was predicted. The results show that, the collision events between the particles pouring into flow chamber and the flow chamber bottom decrease as increasing shear stress, the collision fraction of the particles is less than 12.5% under different shear conditions, and the front bench positions of the colliding particles are dependent on the initial position being released from inlet. The aim of our numerical simulation lies in give one some enlighten in the design of the flow chamber and the data analysis of flow chamber experiments.

the adhesion of flowing cells to the vascular surface in localized sites will occur in many physiological and pathological processes, such as inflammatory reaction, tumor metastasis, and thrombus formation. This transport dependent process depends not only on the specific interactions of adhesive molecules but also on the hemodynamics of blood flow. A theoretical model for binary adhesion of flowing cells is developed here for exploring the action and interplay of the factors, which may govern this process. Our numerical results show that, the hydrodynamic interaction of cells in flows may also be a dominating factor in the adhesion of flowing cells, especially in the case of too many cells having been tethered in surface. Similar to the increasing of the cellular on-rate, the more the upstream flowing cells, the larger the tethering rate of the flowing cells against flow direction. The spatial and temporal distributions of such adhesion are sensitive to both the cellular on-rate and the interaction of the crowding cells. This model may be also used in extracting the reaction kinetic information of flowing cells from flow chamber data.