Department of Obstetrics and Gynecology, Medical School, University of Ioannina, Ioannina, Greece.
Anticancer Res. 2009 Dec;29(12):4995-8.
Image analysis of tissue sections using RGB image profiling is a modern accepted technique.
A new method of RGB analysis, using the freeware ImageJ, is presented which can be applied to sections with either nuclear or cytoplasmic staining. The step-by-step process is presented and the method is tested using breast cancer specimens immunostained for CK-19 and estrogen receptors.
This image analysis easily discriminates CK-19 and estrogen receptor positivity in prepared breast cancer specimens. The method is easy to perform, without the need for previous image transformations.
Compared to previous methods, this method proved more accurate in estimating the actual colours that an observer recognizes as positive after immunostaining. Further studies are needed to evaluate whether this method is efficient enough to be applied in clinical practice.
使用 RGB 图像分析对组织切片进行分析是一种现代公认的技术。
本文提出了一种新的 RGB 分析方法，使用免费软件 ImageJ，可应用于核或细胞质染色的切片。本文介绍了具体的操作步骤，并使用免疫组化染色的乳腺癌标本对 CK-19 和雌激素受体进行了方法测试。
这种图像分析方法可轻松区分 CK-19 和雌激素受体在制备好的乳腺癌标本中的阳性表达。该方法易于操作，无需进行图像转换。
与之前的方法相比，该方法在估计观察者在免疫染色后识别为阳性的实际颜色方面更为准确。需要进一步的研究来评估这种方法是否足够有效，以便应用于临床实践。
