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...
Tag - Workflow
MIKAIA University Workflow
Michaela Benz
Segmentation AI Author Example: Train H&E Vulvar Cancer AI Based on Aligned IHC Serial Sections
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...
MIKAIA’s Slide Alignment: An Overview
With the upcoming MIKAIA® 3 release (scheduled for Q1 2026), MIKAIA® will receive a new multi-omics slide alignment module, “MIKAIA® Slide Align“. Based on a 3-phase registration process, the last one being...
Volker Bruns
Manual Spatial Proteomics: Fusing Cycles into OME-TIF was Never Easier
Spatial Proteomics was named the Nature Method of the Year 2024. One predominant method is Cyclic Immunofluorescence (CycIF). Here, a tissue sample is stained and scanned during a first cycle. Next, the stain is...
Analyzing and Comparing Regions of Interest – “Divide by ROIs” Special
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...
Grit Nickel
Getting Started: Activating MIKAIA
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...
MIKAIA AI Author: Create New AI and Batch-analyze an Entire Dataset
MIKAIA® AI Author used for Digital Pathology batch analysis
MIKAIA Plugin API: “Plug in your own AI”
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: 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 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