Chromogenic in situ hybridization (CISH) is used to detect specific DNA or RNA sequences in tissue samples. It uses enzyme-based staining rather than fluorescence (FISH), allowing for high-resolution imaging, quantification, and analysis under...
This MIKAIA® University app note demonstrates how to quickly and interactively train your own AI using just a few training annotations, all in a matter of minutes. In the app center, select the Segmentation AI Author App, click “+” to...
This MIKAIA® University app note illustrates how to interactively train a new H&E segmentation AI with serial sections, without having to annotate tumor regions. Instead, an IHC epithelial marker (pan-cytokeratin AE1/AE3) is thresholded through...
Browse through our collection of articles and interviews on Digital Pathology, Computational Pathology, and AI as well as app notes for the MIKAIA® whole-slide image analysis software for researchers.
About 20 % to 25 % of breast cancers depend on amplification and overexpression of the gene human epidermal growth factor receptor 2 (HER2). The HER2 overexpression status will initially be assessed by...
The TherVacB project, led by Helmholtz Zentrum München, received a five-year funding within the Horizon 2020 program. With TherVacB, a therapeutic vaccine to cure Hepatitis B, the project’s aim is to provide a...
When designing a new immunohistochemistry (IHC) assay, a quantitative assessment of how it “responds” in different tissues of various organs is insightful and helps optimizing the assay in an objective way...
Tumor cells dynamically interact with their microenvironment to stimulate cancer development, progression, and metastasis. To understand the biology of the tumor-immune interactions, it is essential to identify tumoral...
Digital pathology and artificial intelligence (AI) go hand in hand to revolutionize medical diagnostics. However, pathology AI models must be able to cope with a very large variety of histological images if they are to...
In this MIKAIA® University application note, we guide you through the analysis of a common use case, coexpression of marker combinations in islets of Langerhans and surrounding tissue in a pancreas 4plex imaged with...
In this MIKAIA® University application note, we guide you through the analysis of a common use case, coexpression of marker combinations in lymphoid follicles and interfollicular tissue in a tonsil 15plex imaged with...
Cancer staging The outcome in patients with cancer is determined by a combination of numerous factors. The personalized treatment of a cancer patient depends on the site of origin of the cancer, the morphologic type...
Dear Travel Diary…. The European Congress on Digital Pathology 2023 (ECDP23) took place in Budapest, Hungary, from June 14th-17th in the beautiful Corinthian Hotel. ~600 delegates shared their latest experiences...
MIKAIA® University Application Note: Analyzing multiplexed immuno fluorescent (mIF) slides MIKAIA® has good support for viewing, annotating and analyzing multi-plexed (aka high-plex, aka hyper-plex) whole-slide images...
© Fraunhofer IIS · 2026
Volker Bruns
Michaela Benz
Nathalie Falk
Peer Graulich