A simple microcomputer-based system for real-time analysis of cell behaviour.
A simple microcomputer-based system for real-time analysis of cell behaviour.
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一个简单的基于微计算机的系统，用于实时分析细胞行为。
DOI：
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发表时间：
1987
影响因子：
4
通讯作者：
Kenneth V. Crocket
中科院分区：
文献类型：
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作者：
Julian A. T. Dow;John M. Lackje;Kenneth V. Crocket
本文介绍了一种基于BBC微机的图象分析软件包，它能同时跟踪离体多个运动细胞。用单色电视摄像机在相位光学下观察细胞（兔中性粒细胞白细胞、BHK C13成纤维细胞或PC 12嗜铬细胞瘤细胞），并将信号数字化。连续的帧由计算机作为640 X 256像素阵列采集。在受控的照明条件下，细胞可以容易地通过二进制过滤从背景中分离出来。在实时跟踪中，给定细胞在连续帧中的位置通过搜索前一帧中细胞质心周围的区域来获得。描述了一种简单的框搜索算法，该算法在低细胞密度下非常成功。讨论了不同搜索算法对各种异常条件（如碰撞）的弹性。该系统在实时跟踪中的成功在很大程度上取决于细胞的缓慢移动速度，以及获得干净、高质量的光学图像以进行分析。这种技术的局限性，为不同的细胞类型，更复杂的硬件和可能的配置，概述。该系统为研究组织细胞运动的问题提供了一种通用的自动化解决方案。
An image analysis package based on a BBC microcomputer has been developed, which can simultaneously track many moving cells in vitro. Cells (rabbit neutrophil leucocytes, BHK C13 fibroblasts, or PC12 phaeochromocytoma cells) are viewed under phase optics with a monochrome TV camera, and the signal digitized. Successive frames are acquired by the computer as a 640 X 256 pixel array. Under controlled lighting conditions, cells can readily be isolated from the background by binary filtering. In real-time tracking, the positions of a given cell in successive frames are obtained by searching the area around the cell's centroid in the previous frame. A simple box-search algorithm is described, which proves highly successful at low cell densities. The resilience of different search algorithms to various exceptional conditions (such as collisions) is discussed. The success of this system in real-time tracking is largely dependent upon the leisurely speed of movement of cells, and on obtaining a clean, high quality optical image to analyse. The limitations of this technique for different cell types, and the possible configurations of more sophisticated hardware, are outlined. This system provides a versatile and automated solution to the problem of studying the movement of tissue cells.