基于全切片图像的免疫组织化学评估的颜色标准化和染色强度校准

Color Standardization and Stain Intensity Calibration for Whole Slide Image-Based Immunohistochemistry Assessment.

作者信息

Ohnishi Chie, Ohnishi Takashi, Ibrahim Kareem, Ntiamoah Peter, Ross Dara, Yamaguchi Masahiro, Yagi Yukako

机构信息

Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, 1133 York Avenue, New York, NY 10065, USA.

School of Engineering, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan.

出版信息

Microsc Microanal. 2024 Mar 7;30(1):118-132. doi: 10.1093/micmic/ozad136.

Abstract

Automated quantification of human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) using whole slide imaging (WSI) is expected to eliminate subjectivity in visual assessment. However, the color intensity in WSI varies depending on the staining process and scanner device. Such variations affect the image analysis results. This paper presents methods to diminish the influence of color variation produced in the staining process using a calibrator slide consisting of peptide-coated microbeads. The calibrator slide is stained along with tissue sample slides, and the 3,3'-diaminobenzidine (DAB) color intensities of the microbeads are used for calibrating the color variation of the sample slides. An off-the-shelf image analysis tool is employed for the automated assessment, in which cells are classified by the thresholds for the membrane staining. We have adopted two methods for calibrating the color variation based on the DAB color intensities obtained from the calibrator slide: (1) thresholds for classifying the DAB membranous intensity are adjusted, and (2) the color intensity of WSI is corrected. In the experiment, the calibrator slides and tissue of breast cancer slides were stained together on different days and used to test our protocol. With the proposed protocol, the discordance in the HER2 evaluation was reduced to one slide out of 120 slides.

摘要

使用全切片成像(WSI)对人表皮生长因子受体2(HER2)免疫组织化学(IHC)进行自动定量分析,有望消除视觉评估中的主观性。然而,WSI中的颜色强度会因染色过程和扫描仪设备而有所不同。这种变化会影响图像分析结果。本文提出了一些方法,使用由肽包被微珠组成的校准玻片来减少染色过程中产生的颜色变化的影响。校准玻片与组织样本玻片一起染色,微珠的3,3'-二氨基联苯胺(DAB)颜色强度用于校准样本玻片的颜色变化。采用现成的图像分析工具进行自动评估,其中细胞通过膜染色的阈值进行分类。我们基于从校准玻片获得的DAB颜色强度采用了两种校准颜色变化的方法:(1)调整用于分类DAB膜强度的阈值,(2)校正WSI的颜色强度。在实验中,校准玻片和乳腺癌组织玻片在不同日期一起染色,并用于测试我们的方案。通过所提出的方案,HER2评估中的不一致性降低到120张玻片中的1张。

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