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...