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...
Tag - MIKAIA® App Note
Volker Bruns
MIKAIA: Build H&E Analysis using Multiple AIs
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...
MIKAIA: Differential IHC Cell Detection by ROI
This article is based on a our presentation “IHC Cell Analysis — More than just Cell Counting: A proposed Workflow” at the European Conference for Digital Pathology (ECDP) 2024 in Vilnius, Lithuania...
WSI and Annotation File Format I/O Support in MIKAIA
MIKAIA® supports various I/O formats, find out which ones. Importable whole-slide-image file formats Format / VendorCommentsOME-TIFFBrightfield and fluorescence. Z-stacks and timelines supported (mutually-exclusive). No...
MIKAIA: Quantifying Perineural Invasion in Duplex IHC
This MIKAIA® App Note shows how to quantify tumor in proximity to nerve fibers (perineural invasion) in a IHC duplex-stained tissue section, where nerves appear red (antigen: S100) and tumor brown (antigen:...
Annotation Concepts in MIKAIA for Whole-Slide-Images
The first step to creating a supervised Digital Pathology AI is to annotate whole-slide-images. MIKAIA® uses various annotation concepts. Working with MIKAIA® is easier when these annotation concepts are known and...
MIKAIA® University
MIKAIA® University is the central MIKAIA® learning portal. Here you can find various App Notes and Video Tutorials that describe typical MICAIA® workflows either from a technical or medical perspective. As we are...
MIKAIA HER2 FISH App
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...
Nathalie Falk
IHC Profiler in MIKAIA – Assessing New IHC Assay Using Multi-organ TMA
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...
MIKAIA Spatial Clustering App
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...
