Automated counting of mammalian cell colonies
Automated counting of mammalian cell colonies
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DOI：
10.1088/0031-9155/46/1/305
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发表时间：
2001-01-01
影响因子：
3.5
通讯作者：
Joiner, MC
中科院分区：
文献类型：
--
作者：
Barber, PR;Vojnovic, B;Joiner, MC
使用集落形成能力测定来研究低剂量辐射暴露对细胞的影响需要大量细胞样本以保持统计准确性。手动计数所得菌落是一项艰巨的任务，很难实现一致的客观性。对于一些形成界限不清或“模糊”集落的哺乳动物细胞系尤其如此，以神经胶质瘤或成纤维细胞系为代表。本文提出了一种基于计算机视觉的自动菌落计数器。它利用新颖的成像和图像处理方法，涉及霍夫变换的修改形式。自动计数器能够识别这些细胞系典型的离散程度较低的细胞集落。将自动菌落计数的结果与细胞系 HT29、A172、U118 和 IN1265 的四种手动（人类）菌落计数结果进行比较。就存活分数 (SF) 与剂量曲线、2 Gy 的 SF 值 (SF2) 和 SF 曲线下总面积 (Dbar) 而言，自动计数的结果完全符合所有四种细胞系的手动计数的分布。从计数的变化来看，自动计数通常比手动计数更一致。
Investigating the effect of low-dose radiation exposure on cells using assays of colony-forming ability requires large cell samples to maintain statistical accuracy. Manually counting the resulting colonies is a laborious task in which consistent objectivity is hard to achieve. This is true especially with some mammalian cell lines which form poorly defined or 'fuzzy' colonies, typified by glioma or fibroblast cell lines. A computer-vision-based automated colony counter is presented in this paper. It utilizes novel imaging and image-processing methods involving a modified form of the Hough transform. The automated counter is able to identify less-discrete cell colonies typical of these cell lines. The results of automated colony counting are compared with those from four manual (human) colony counts for the cell lines HT29, A172, U118 and IN1265. The results from the automated counts fall well within the distribution of the manual counts for all four cell lines with respect to surviving fraction (SF) versus dose curves, SF values at 2 Gy (SF2) and total area under the SF curve (Dbar). From the variation in the counts, it is shown that the automated counts are generally more consistent than the manual counts.