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通过图像分析系统对银染色过程中AgNOR面积和数量进行连续定量分析。

Sequential quantification of AgNOR area and number during silver staining by means of an image analysing system.

作者信息

Ofner D, Hittmair A, Maier H, Riedmann B, Rumer A, Lucciarini P, Offner F, Mikuz G, Schmid K W

机构信息

Department of Surgery I, University of Innsbruck, Austria.

出版信息

Zentralbl Pathol. 1994 Mar;140(1):37-40.

PMID:7515671
Abstract

Standardized AgNOR staining protocols are required to compare results obtained by means of image analysis systems (IAS) in different laboratories. In order to investigate the staining kinetics of the NOR silver staining, we evaluated automatically the area and number of AgNORs of a human transitional-cell carcinoma cell line (HOK-1) by IAS at one minute intervals over a total staining period of 30 minutes. Results showed a constant increase (standard error of estimate: 0.001; R squared: 0.8) of the AgNOR area reaching a plateau after 10 minutes followed by further area increase. In contrast, in all experiments a pronounced variability in the AgNOR number (standard error of estimate: 0.042; R squared: 0.75) was noted, reflecting the aggregation of silver stained spots. Thus the evaluation of the AgNOR area yielded reliable and easily reproducible results, whereas the assessment of the AgNOR number by means of an automated IAS was associated with a marked variability.

摘要

为了在不同实验室间比较通过图像分析系统(IAS)获得的结果,需要标准化的AgNOR染色方案。为了研究NOR银染的染色动力学,我们通过IAS以1分钟的间隔自动评估人移行细胞癌细胞系(HOK-1)在30分钟的总染色时间内AgNORs的面积和数量。结果显示AgNOR面积持续增加(估计标准误差:0.001;决定系数:0.8),10分钟后达到平稳期,随后面积进一步增加。相比之下,在所有实验中,均观察到AgNOR数量存在明显的变异性(估计标准误差:0.042;决定系数:0.75),这反映了银染斑点的聚集。因此,对AgNOR面积的评估产生了可靠且易于重现的结果,而通过自动化IAS评估AgNOR数量则存在明显的变异性。

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