Image normalization for quantitative immunohistochemistry in digital pathology

被引:2
作者
Van Eycke, Yves-Remi [1 ,3 ]
Allard, Justine [2 ,3 ]
Derock, Melanie [3 ]
Salmon, Isabelle [2 ,3 ]
Debeir, Olivier [1 ]
Decaestecker, Christine [1 ,3 ]
机构
[1] Univ Libre Bruxelles, Lab Image Signal Proc & Acoust, Brussels, Belgium
[2] Univ Libre Bruxelles, Erasme Hosp, Dept Pathol, Brussels, Belgium
[3] ULB, Ctr Microscopy & Mol Imaging, DIAPath, Gosselies, Belgium
来源
2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2016年
关键词
Biomarker; histology; image normalization; immunohistochemistry; quantification;
D O I
10.1109/ISBI.2016.7493386
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this paper, we propose to adapt to immunohistochemistry (IHC) some methods proposed to normalize images from histological slices stained with hematoxylin-eosin (H&E). Our final aim is to provide a coherent quantitative characterization of IHC biomarkers across different IHC batches with possible staining variations. In contrast to H&E, IHC staining strongly varies with the tissue analyzed and the protein targeted, making image normalization challenging. To solve this problem, we added in each IHC batch a slice from a reference tissue microarray (TMA) and then digitalized it to establish an inter-batch normalization transform. A comparison of two methods adapted to the specificity of IHC-stained slides evidences some normalization requirements to make valid IHC biomarker quantification across different staining batches.
引用
收藏
页码:795 / 798
页数:4
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