par Van Eycke, Yves-Remi
;Allard, Justine
;Derock, Mélanie
;Salmon, Isabelle
;Debeir, Olivier
;Decaestecker, Christine ![](/vufind/images/ULB/publications_list.png)
Référence (13-16 April 2016: Prague, Czech Republic), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), IEEE, page (795 - 798)
Publication Publié, 2016-04
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![](/vufind/images/ULB/publications_list.png)
![](/vufind/images/ULB/publications_list.png)
![](/vufind/images/ULB/publications_list.png)
![](/vufind/images/ULB/publications_list.png)
![](/vufind/images/ULB/publications_list.png)
Référence (13-16 April 2016: Prague, Czech Republic), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), IEEE, page (795 - 798)
Publication Publié, 2016-04
Publication dans des actes
Résumé : | 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. |