The “Divide by ROIs” feature in MIKAIA’s analysis apps enables users to compile statistics and enhance their understanding of variations in cell populations. This functionality allows for comparisons between user...
In this MIKAIA® University app note, we will walk you through the necessary steps to unlock the features that are locked in MIKAIA® lite. Whether you’re evaluating MIKAIA® studio or have purchased a license...
This app note describes the MIKAIA Plugin API. It can be used by bioinformaticians to plug in their own AI script, e.g., written in Python or any other language, into MIKAIA® and this way put their AI into the hands of...
MIKAIA® is specifically designed for researchers in academia, CROs, biotech, pharma. One of the challenges is that researchers by design do unique things. For this reason, MIKAIA® apps do not represent individual side...
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...
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...
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: new (Oct. 2025): IHC Cell Detection App explained (23min video tutorial...