Streif Stefan, Staudinger Wilfried Franz, Oesterhelt Dieter, Marwan Wolfgang
Max Planck Institute of Biochemistry, 82152 Martinsried, Germany.
Rev Sci Instrum. 2009 Feb;80(2):023709. doi: 10.1063/1.3076408.
To investigate the responses of Halobacterium salinarum to stimulation with light (phototaxis and photokinesis), we designed an experimental setup consisting of optical devices for automatic video image acquisition and computer-controlled light stimulation, and developed algorithms to analyze physiological responses of the cells. Cells are categorized as motile and nonmotile by a classification scheme based on the square displacement of cell positions. Computerized tracking based on a dynamic model of the stochastic cell movement and a Kalman filter-based algorithm allows smoothed estimates of the cell tracks and the detection of physiological responses to complex stimulus patterns. The setup and algorithms were calibrated which allows quantitative measurements and systematic analysis of cellular sensing and response. Overall, the setup is flexible, extensible, and consists mainly of commercially available products. This facilitates modifications of the setup and algorithms for physiological studies of the motility of cells or microorganisms.
为了研究盐生盐杆菌对光刺激的反应（趋光性和光动力学），我们设计了一个实验装置，该装置由用于自动视频图像采集的光学设备和计算机控制的光刺激组成，并开发了算法来分析细胞的生理反应。根据细胞位置的平方位移的分类方案，细胞被分为运动型和非运动型。基于随机细胞运动的动态模型和基于卡尔曼滤波器的算法的计算机跟踪允许对细胞轨迹进行平滑估计，并检测对复杂刺激模式的生理反应。对该装置和算法进行了校准，从而能够对细胞传感和反应进行定量测量和系统分析。总体而言，该装置灵活、可扩展，并且主要由市售产品组成。这便于对该装置和算法进行修改，以用于细胞或微生物运动性的生理学研究。
