Estimation of rheological parameters for unstained living cells

Abstract In video-records, objects moving in intracellular regions are often hardly detectable and identifiable. To squeeze the information on flows, we propose an automatic method of reconstruction flow velocity fields based only a recorded video unstained cell. The basis is detection speeded-up robust features (SURF) assembling them into trajectories. Two components motion—direct Brownian—are separated by original minimum covariance estimation. Brownian component gives spatially resolved diffusion coefficient. directed yields field, after fitting vorticity equation, estimation distributed effective viscosity. was applied to videos human osteoblast hepatocyte. obtained parameters agreement with literature data.