Soames A R, Lavender D, Foster J R, Williams S M, Wheeldon E B
Pathology Department, Zeneca Central Toxicology Laboratory, Alderley Park, Macclesfield, United Kingdom.
J Histochem Cytochem. 1994 Jul;42(7):939-44. doi: 10.1177/42.7.8014477.
We developed a system for quantifying the numbers of bromodeoxyuridine (BrdU)-labeled hepatocyte nuclei in rat and mouse liver with an automated image analysis system. We began by developing a protocol for BrdU staining that would provide consistently intense staining to facilitate identification of both labeled and unlabeled nuclei by image analysis. Preliminary studies detected and characterized hepatocyte nuclei and differentiated them from non-hepatocyte nuclei using area and form factors. The parameters were selected to optimize discrimination between the two populations, selecting 90% of hepatocyte and 5% non-hepatocyte nuclei. Finally, we developed a program for automatic counting of BrdU-labeled hepatocyte and total hepatocyte nuclei. Results obtained from this method correlated well with data collected by a microscopist over a wide range of labeling indices. The automated system reduces interobserver variation and should minimize intraobserver error, as well as reducing the tedium of measuring labeling indices in the liver. Moreover, the techniques described should be applicable to other tissues.
我们开发了一种利用自动图像分析系统对大鼠和小鼠肝脏中溴脱氧尿苷(BrdU)标记的肝细胞核数量进行定量的系统。我们首先制定了BrdU染色方案,该方案能提供持续强烈的染色,便于通过图像分析识别标记和未标记的细胞核。初步研究利用面积和形状因子检测并鉴定肝细胞核,并将其与非肝细胞核区分开来。选择这些参数以优化两类细胞核之间的区分,选出90%的肝细胞核和5%的非肝细胞核。最后,我们开发了一个程序来自动计数BrdU标记的肝细胞核和总肝细胞核。通过该方法获得的结果与显微镜检查人员在广泛的标记指数范围内收集的数据高度相关。该自动化系统减少了观察者之间的差异,应能最大限度地减少观察者内部的误差,同时减少测量肝脏标记指数的乏味程度。此外,所描述的技术应适用于其他组织。