ArticleScientific reports2017
Hyper-Stain Inspector: A Framework for Robust Registration and Localised Co-Expression Analysis of Multiple Whole-Slide Images of Serial Histology Sections.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- CurvReg: Curvature-aware registration for multi-stain alignment of liver biopsies.Journal of pathology informatics · 2026Article
- Longitudinal evaluation of tumor-infiltrating lymphocyte scoring using automated region of interest registration in breast cancer.Breast cancer research : BCR · 2026Article
- From traditional to deep learning approaches in whole slide image registration: A methodological review.Journal of pathology informatics · 2025Review
- Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome.The Journal of pathology · 2025Article
- Advancement of Techniques for Precise Visualization and Quantification of Tertiary Lymphoid Structure-Associated Immune Cells in Tissue Samples.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Whole-Slide Imaging, Mutual Information Registration for Multiplex Immunohistochemistry and Immunofluorescence.Laboratory investigation; a journal of technical methods and pathology · 2023Article
- Fast cross-staining alignment of gigapixel whole slide images with application to prostate cancer and breast cancer analysis.Scientific reports · 2022Article
- ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.IEEE transactions on medical imaging · 2020Article
- Spa-RQ: an Image Analysis Tool to Visualise and Quantify Spatial Phenotypes Applied to Non-Small Cell Lung Cancer.Scientific reports · 2019Article
- Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.Transplantation · 2019Review
- Robust hierarchical density estimation and regression for re-stained histological whole slide image co-registration.PloS one · 2019Article
- Microenvironmental niche divergence shapes BRCA1-dysregulated ovarian cancer morphological plasticity.Nature communications · 2018Article
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Authors and funding
5 authors.
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Abstract
In this paper, we present a fast method for registration of multiple large, digitised whole-slide images (WSIs) of serial histology sections. Through cross-slide WSI registration, it becomes possible to select and analyse a common visual field across images of several serial section stained with different protein markers. It is, therefore, a critical first step for any downstream co-localised cross-slide analysis. The proposed registration method uses a two-stage approach, first estimating a fast initial alignment using the tissue sections' external boundaries, followed by an efficient refinement process guided by key biological structures within the visual field. We show that this method is able to produce a high quality alignment in a variety of circumstances, and demonstrate that the refinement is able to quantitatively improve registration quality. In addition, we provide a case study that demonstrates how the proposed method for cross-slide WSI registration could be used as part of a specific co-expression analysis framework.
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