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光镜、ImageJ和QuPath测定胎盘霍夫鲍尔细胞免疫组化染色强度的比较分析

Comparative Analysis of Immunohistochemical Staining Intensity Determined by Light Microscopy, ImageJ and QuPath in Placental Hofbauer Cells.

作者信息

Cizkova Katerina, Foltynkova Tereza, Gachechiladze Mariam, Tauber Zdenek

机构信息

Department of Histology and Embryology, Faculty of Medicine and Dentistry, Palacky University, 779 00, Olomouc, Czech Republic.

Department of Clinical and Molecular Pathology & Laboratory of Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University, 779 00, Olomouc, Czech Republic.

出版信息

Acta Histochem Cytochem. 2021 Feb 25;54(1):21-29. doi: 10.1267/ahc.20-00032. Epub 2021 Feb 20.

Abstract

Software based analyses of immunohistochemical staining are designed for obtaining quantitative, reproducible, and objective data. However, often times only a certain type of positive cells or structures need to be quantified thus whole image analysis cannot be performed. Such an example is Hofbauer placental cells, which show positivity of some antigens together with trophoblast, but only Hofbauer cells represent the regions of interest (ROIs). Two independent observers evaluated the immunohistochemical staining intensity of Hofbauer cells in placenta samples stained for cytoplasmic antigens by ImageJ, QuPath and light microscopy. Thus, the precise manual determination of ROIs, i.e. Hofbauer cells, was necessary. We detected low inter-observer variability in staining intensity. Almost perfect agreement between observers was reached for ImageJ and QuPath whilst substantial agreement was reached for light microscopy evaluation. As for the comparison of ImageJ, QuPath and light microscopy, the agreement of all three methods (identical immunohistochemical intensity) was achieved for 38.1% samples. The almost perfect agreement of staining intensities was reached between ImageJ and QuPath, and moderate agreement for comparison of the light microscopy to both software. Software analyses are much more time-consuming, thus their utilization is at least questionable to evaluate ROIs with selection.

摘要

基于软件的免疫组织化学染色分析旨在获取定量、可重复且客观的数据。然而,很多时候仅需对特定类型的阳性细胞或结构进行定量分析,因此无法进行全图像分析。霍夫鲍尔胎盘细胞就是这样一个例子,它与滋养层细胞一样呈现某些抗原的阳性反应,但只有霍夫鲍尔细胞才是感兴趣区域(ROI)。两名独立观察者通过ImageJ、QuPath和光学显微镜对胎盘样本中细胞质抗原染色的霍夫鲍尔细胞的免疫组织化学染色强度进行了评估。因此,精确手动确定ROI,即霍夫鲍尔细胞,是必要的。我们检测到观察者间染色强度的变异性较低。ImageJ和QuPath在观察者之间达成了几乎完美的一致性,而光学显微镜评估则达成了实质性的一致性。至于ImageJ与QuPath以及光学显微镜的比较,38.1%的样本在所有三种方法(相同的免疫组织化学强度)上达成了一致。ImageJ和QuPath之间达成了几乎完美的染色强度一致性,而光学显微镜与这两种软件比较时达成了中等程度的一致性。软件分析耗时得多,因此其用于选择性评估ROI至少是有问题的。

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