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ImmunoMembrane: a publicly available web application for digital image analysis of HER2 immunohistochemistry
Vilppu J Tuominen1, Teemu T Tolonen, Jorma Isola
1Institute of Biomedical Technology, University of Tampere, Tampere, Finland.
Insights
ImmunoMembrane is a free web application for automated human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) analysis. This software reduces subjective interpretation, improving diagnostic accuracy in HER2 testing.
Area of Science:
- Pathology
- Computational Biology
- Biomedical Imaging
Background:
- Human epidermal growth factor receptor 2 (HER2) assessment via immunohistochemistry (IHC) is standard in clinical pathology.
- Visual HER2 IHC scoring is subjective, leading to inter- and intra-observer variability.
- Automated analysis tools are needed to improve objectivity and consistency.
Purpose of the Study:
- To introduce ImmunoMembrane, a novel, user-friendly, web-based software for automated HER2 IHC analysis.
- To provide a freely accessible tool that requires no installation for clinical pathology laboratories.
- To objectively quantify HER2 expression levels and reduce diagnostic subjectivity.
Main Methods:
- ImmunoMembrane employs color deconvolution for stain separation and a custom algorithm for cell membrane segmentation.
- A quantitative score (IM-score, 0-20) is derived from membrane staining intensity and completeness.
- The software classifies specimens into 0/1+, 2+, or 3+ categories based on defined IM-score cut-offs.
Main Results:
- ImmunoMembrane demonstrated strong agreement with pathologist visual classification (weighted kappa κ(w) =0.80) on a validation set of 144 HER2 IHC stained sections.
- The software's classification showed low disagreement rates with in-situ hybridization methods: 3.5% with FISH and 2.8% with CISH.
- Results are presented as a pseudo-colored overlay image, visualizing segmentation and classification.
Conclusions:
- Freely available web applications like ImmunoMembrane can facilitate the adoption of automated image analysis in HER2 IHC diagnostics.
- ImmunoMembrane offers a promising solution for objective and consistent HER2 IHC scoring in clinical settings.
- The tool is accessible online at http://jvsmicroscope.uta.fi/immunomembrane/.
Aims:
Assessment of the human epidermal growth factor receptor 2 (HER2) with immunohistochemistry (IHC) is routine practice in clinical pathology laboratories. Visual classification of the staining reaction (usually into 0/1+, 2+ or 3+) is subjective and prone to significant inter- and intra-observer variation. In this study, we describe ImmunoMembrane, an easy-to-use HER2 IHC analysis software, which is freely available as a web application, requiring no download or installation.
Methods And Results:
ImmunoMembrane uses colour deconvolution for stain separation and a customized algorithm for cell membrane segmentation. A quantitative score (IM-score, 0-20 points) is generated according to the membrane staining intensity and completeness. Specimens are classified into 0/1+, 2+ or 3+ based on IM-score cut-offs defined using a training set. The classification and membrane segmentation are presented as a pseudo-coloured overlay image. With a validation set (144 HercepTest(®) -stained whole tissue sections), ImmunoMembrane matched well with the pathologist's visual classification (weighted kappa κ(w) =0.80), as well as fluorescence in-situ hybridization (FISH) (IHC disagreement 3.5%, n=144) and chromogenic in-situ hybridization (CISH) (IHC disagreement 2.8%, n=144).
Conclusions:
We anticipate that publicly available web applications, such as ImmunoMembrane, will accelerate the adoption of automated image analysis in clinical diagnostics of HER2 IHC. ImmunoMembrane is freely accessible at: http://jvsmicroscope.uta.fi/immunomembrane/.
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