论文标题
估计未染色活细胞的流变参数
Estimation of rheological parameters for unstained living cells
论文作者
论文摘要
在视频记录中，在细胞内区域移动的对象通常几乎无法检测到和可识别。为了挤压细胞内流的信息，我们提出了一种仅基于记录的未染色单元的录制视频，对细胞内流速度场进行重建的自动方法。该方法的基础是检测加速稳健特征（冲浪）并将其组装成轨迹。基于最小协方差估计，通过原始方法分开了两个运动的组成部分 - 直接和布朗尼。布朗分量给出了空间分辨的扩散系数。定向分量产生速度场，并在拟合涡度方程后，对空间分布的有效粘度进行估计。该方法应用于人类成骨细胞和肝细胞的视频。获得的参数与文献数据一致。
In video-records, objects moving in intracellular regions are often hardly detectable and identifiable. In order to squeeze the information on the intracellular flows, we propose an automatic method of reconstruction of intracellular flow velocity fields based only on a recorded video of an unstained cell. The basis of the method is detection of speeded-up robust features (SURF) and assembling them into trajectories. Two components of motion -- direct and Brownian -- are separated by an original method based on minimum covariance estimation. The Brownian component gives a spatially resolved diffusion coefficient. The directed component yields a velocity field, and, after fitting the vorticity equation, estimation of the spatially distributed effective viscosity. The method was applied to videos of a human osteoblast and a hepatocyte. The obtained parameters are in agreement with literature data.
