Cancer is a major cause of mortality worldwide, and the evaluation of predictive and prognostic markers is crucial in its pathologic assessment. Immunohistochemistry (IHC) is commonly used to evaluate biomarker status...
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...
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...
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...
MIKAIA University Application Note: Interactively training an AI with the AI Authoring App — programming-free and from just a few example annotations By design, researchers often have unique questions that they...
MIKAIA University Application Note: Immune cell infiltration in tumor micro environment (TME) List of other articles on analysis of IHC stains: Spatial clustering of IHC+ cells IHC Profiling ROI based differential...
You want to develop your own digital pathology AI? The following MIKAIA University application note explains how to create an AI training dataset using the MIKAIA Tile Export App. The first step is to create a dataset...