Department of Electrical and Computer Engineering, The Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA.
Integr Biol (Camb). 2010 Nov;2(11-12):561-7. doi: 10.1039/c0ib00036a. Epub 2010 Oct 1.
Chemotaxis refers to the ability of cells to sense the direction of external chemical gradients and respond by migrating towards the source. A thorough understanding of the chemotactic response of amoebae and neutrophils requires careful quantification of the cell shape changes observed during cell movement. The stochastic nature of this response calls for a statistical characterization of cellular morphology and this requires the processing of large data sets. For this reason, automatic image analysis algorithms are highly desirable and are becoming increasingly available. These usually include a combination of techniques from image segmentation, morphological transformations, as well as the incorporation of numerical algorithms and physical models. Here we review recent developments in the tracking and understanding of motile chemotaxing cells, with a particular emphasis on the description of pseudopodial activity in chemotactic Dictyostelium cells.
趋化性是指细胞感知外部化学梯度方向的能力,并通过向源迁移来做出响应。要深入了解变形虫和中性粒细胞的趋化反应,需要仔细量化细胞在运动过程中观察到的细胞形状变化。这种随机响应要求对细胞形态进行统计学描述,这需要处理大量数据集。出于这个原因,自动图像分析算法是非常需要的,并且越来越普及。这些算法通常包括从图像分割、形态变换,以及数值算法和物理模型的组合技术。在这里,我们回顾了最近在跟踪和理解运动趋化细胞方面的进展,特别强调了对趋化性盘基网柄菌细胞伪足活性的描述。