Tozetti Pablo B, Lima Ewelyne M, Nascimento Andrews M, Endringer Denise C, Pinto Fernanda E, Andrade Tadeu U, Mittag Anja, Tarnok Attila, Lenz Dominik
Master's Program in Pharmaceutical Sciences, University of Vila Velha (UVV), Vila Velha, ES, Brazil.
Translational Centre for Regenerative Medicine (TRM), University of Leipzig, Germany; Heart Center Leipzig, University of Leipzig, Germany.
Hematol Oncol Stem Cell Ther. 2014 Jun;7(2):69-75. doi: 10.1016/j.hemonc.2013.11.005. Epub 2014 Jan 30.
Recent studies in image cytometry evaluated the replacement of specific markers by morphological parameters. The aim of this study was to develop and evaluate a method to identify subtypes of leukocytes using morphometric data of the nuclei.
The analyzed images were generated with a laser scanning cytometer. Two free programs were used for image analysis and statistical evaluation: Cellprofiler and Tanagra respectively. A sample of leukocytes with 200 sets of images (DAPI, CD45 and CD14) was analyzed. Using feature selection, the 20 best parameters were chosen to conduct cross-validation.
The morphometric data identified the subpopulations of the analyzed leukocytes with a sensitivity and specificity of 0.95 per sample.
The present study is the first that identifies subpopulations of leukocytes by nuclear morphology.
图像细胞术的近期研究评估了用形态学参数替代特定标志物的情况。本研究的目的是开发并评估一种利用细胞核形态计量数据识别白细胞亚型的方法。
分析图像由激光扫描细胞仪生成。分别使用两个免费程序进行图像分析和统计评估：Cellprofiler和Tanagra。分析了包含200组图像（DAPI、CD45和CD14）的白细胞样本。通过特征选择，选择了20个最佳参数进行交叉验证。
形态计量数据识别出所分析白细胞亚群，每个样本的灵敏度和特异性均为0.95。
本研究首次通过细胞核形态识别白细胞亚群。
