Automatic digital image analysis for identification of mitotic cells in synchronous mammalian cell cultures.
Automatic digital image analysis for identification of mitotic cells in synchronous mammalian cell cultures.
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发表时间：
1986-06
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通讯作者：
Eccles Ba;Klevecz Rr
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作者：
Eccles Ba;Klevecz Rr
：使用低强度相差显微镜和连接到EyeCom III图像处理器的新型摄像机，完全自动和实时地测定了哺乳动物细胞同步培养中的有丝分裂频率。图像样本以每分钟一次的频率持续50小时，通过首先提取高频图像成分，然后阈值处理和探测指示假定有丝分裂细胞的环形对象来进行分析。高频分量的提取和变半径环和不连续环的识别都采用了新的算法。检查环间的空间和时间关系以辨别有丝分裂的发生，并将这些事件记录在计算机数据文件中。目前，自动分析适用于随机细胞增殖率测量或细胞周期研究。这里描述的有丝分裂细胞的自动识别提供了作为一个整体的细胞群体的平均增殖活性的测量，并消除了每个延时视频记录超过8个小时的手动审查。
: Mitotic frequency in a synchronous culture of mammalian cells was determined fully automatically and in real time using low-intensity phase-contrast microscopy and a newvicon video camera connected to an EyeCom III image processor. Image samples, at a frequency of one per minute for 50 hours, were analyzed by first extracting the high-frequency picture components, then thresholding and probing for annular objects indicative of putative mitotic cells. Both the extraction of high-frequency components and the recognition of rings of varying radii and discontinuities employed novel algorithms. Spatial and temporal relationships between annuli were examined to discern the occurrences of mitoses, and such events were recorded in a computer data file. At present, the automatic analysis is suited for random cell proliferation rate measurements or cell cycle studies. The automatic identification of mitotic cells as described here provides a measure of the average proliferative activity of the cell population as a whole and eliminates more than eight hours of manual review per time-lapse video recording.