Quantitative chromogenic immunohistochemical image analysis in cellprofiler software
Quantitative chromogenic immunohistochemical image analysis in cellprofiler software
复制标题
Cellprofiler 软件中的定量显色免疫组织化学图像分析
作者：
V. Tollemar;N. Tudzarovski;Erik Boberg;A. Andrén;A. Al;K. L. Blanc;K. G. Legert;Matteo Bottai;Gunnar Warfvinge;Rachael V. Sugars
染色免疫组化（IHC）样品的视觉分级是主观的，耗时的，并且易于在观察者之间和观察者内部发生相当大的变化。开源数字分析软件CellProfiler已广泛用于荧光染色细胞/组织；然而，显色免疫组化染色通常用于病理和研究诊断。本研究旨在比较CellProfiler定量显色IHC分析与金标准手工计数。对慢性移植物抗宿主病患者的口腔黏膜活检进行CD4染色。数字化图像被手工计数，并在CellProfiler中进行图像分析。观察者间和平台间的一致性通过线性回归散点图和Bland-Altman图进行评估。手动计数器之间的验证比较显示出很强的观察者内部一致性（r2 = 0.979），特别是当细胞数小于100时。散点图和Bland-Altman图显示了手动计数器和CellProfiler之间的强烈一致性，阳性染色细胞的数量呈显著相关（r2 = 0.938）。此外，CellProfiler允许同时确定多个变量，例如染色区域和遮蔽以去除任何未染色的组织和白色间隙，这也证明了可靠的一致性（r2 = >0.9）。CellProfiler展示了多功能性，能够评估大量图像，并允许对其他参数进行量化。CellProfiler允许快速高处理能力的显色染色慢性炎症组织是可靠的，准确的，可重复的，并强调在研究诊断中的潜在应用。
Visual grading of chromogenically stained immunohistochemical (IHC) samples is subjective, time consuming, and predisposed to considerable inter‐ and intra‐observer variations. The open‐source digital analysis software, CellProfiler has been extensively used for fluorescently stained cells/tissues; however, chromogenic IHC staining is routinely used in both pathological and research diagnostics. The current investigation aimed to compare CellProfiler quantitative chromogenic IHC analyses against the gold standard manual counting. Oral mucosal biopsies from patients with chronic graft‐versus‐host disease were stained for CD4. Digitized images were manually counted and subjected to image analysis in CellProfiler. Inter‐observer and inter‐platform agreements were assessed by scatterplots with linear regression and Bland–Altman plots. Validation comparisons between the manual counters demonstrated strong intra‐observer concordance (r2 = 0.979), particularly when cell numbers were less than 100. Scatterplots and Bland–Altman plots demonstrated strong agreement between the manual counters and CellProfiler, with the number of positively stained cells robustly correlating (r2 = 0.938). Furthermore, CellProfiler allowed the determination of multiple variables simultaneously, such as area stained and masking to remove any nonstained tissue and white gaps, which also demonstrated reliable agreement (r2 = >0.9). CellProfiler demonstrated versatility with the ability to assess large numbers of images and allowed additional parameters to be quantified. CellProfiler allowed rapid high processing capacity of chromogenically stained chronic inflammatory tissue that was reliable, accurate, and reproducible and highlights potential applications in research diagnostics.
具有癌症类型分类的基准病理学报告文本语料库。
DOI：
10.1101/2023.08.03.23293618
发表时间：
2023
期刊：
medRxiv : the preprint server for health sciences
影响因子：
--
作者：
Kefeli,Jenna;Tatonetti,Nicholas
通讯作者：
Tatonetti,Nicholas
DOI：
10.1146/annurev-bioeng-112415-114722
发表时间：
2016-07-11
影响因子：
9.7
作者：
Bhargava R;Madabhushi A
通讯作者：
Madabhushi A
影响因子：
2.7
作者：
Lamprecht, Michael R.;Sabatini, David M.;Carpenter, Anne E.
通讯作者：
Carpenter, Anne E.