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MIKAIA University App Notes

MIKAIA® University App Notes are blog articles, where we describe a particular MIKAIA® app or a medical use case in a step-by-step fashion. Our app notes typically describe what the expected input images look like and what quantitative outputs can be generated. They contain many screenshots and explain the concepts or in some cases even the technical background of the image analysis apps.

We are frequently releasing new app notes.

IHC Cell Quantification AI Gallery

This gallery shows results of MIKAIA’s AIs for IHC cell analysis for various IHC markers and organs in both human and mouse tissue.

new: 15.7.2025

Overview of mIF cell segmentation, phenotyping and spatial analysis capabilities

Videos of AI Cell Segmentation + Cell Typing + Cell-cell Connections + Cellular Neighborhoods + Density Heatmaps + Grid Analysis + Proximity Analysis + Spatial Clustering

new: 22.5.2025

Analyzing MACSima 47-plex mIF with MIKAIA

AI Cell Segmentation + Cell Typing + Cell-cell Connections + Cellular Neighborhoods

High Content Imaging

Analyzing Ex-Vivo Drug Response Assays with MIKAIA®

MIKAIA Cellular Neighborhood App

The Cellular Neighborhood does two insightful analyses at once

Proximity Analysis

Quantifying Cell Subpopulations in Vicinity of Intratumoral Microdevice (IMD)

Programming-free Single Cell Analysis of CODEX TMA with MIKAIA

Poster at Europ. Spatial Bio conference in Dec 2024, Berlin, together with TU Munich

Quantify histological growth pattern or spatial heterogeneity with the Grid Analysis App

Result of Grid Analysis App shows histological growth pattern and spatial heterogeneity

MIKAIA Plugin API: “Plug in your own AI”

How bioinformaticians plug in their own Python (or other) scripts into the MIKAIA® app center

Build H&E Analysis using multiple AIs

Video 1: Quantify cells in colon mucosa
Video 2: Detect tumor infiltratring lymphocytes (TILs)

Differential IHC Cell Detection by ROI

Video: Count IHC+ cells and compare inside vs outside metastasis

WSI and Annotation File Format I/O Support in MIKAIA

MIKAIA® supports various I/O formats, find out which ones

Quantifying Perineural Invasion in Duplex IHC

… using the Mask-by-Color App and stain deconvolution

Annotation Concepts in MIKAIA for Whole-Slide-Images

Learn about MIKAIA® annotation concepts, tools, etc.

HER2 FISH App

Compute HER2 / CEP17 RNA ratio per cell

IHC Profiler – Assessing new IHC assay using multi-organ TMA

Computing intensity and positive area per core

Spatial Clustering App

Grouping spatially adjacent cells into clusters and computing histogram of cluster sizes

MIKAIA-Analysis of Human Pancreas 4plex Scanned with NanoString GeoMx DSP

Cell segmentation & cell-cell-connections

MIKAIA-Analysis of Human Tonsil 15plex Imaged with Akoya PhenoCycler-Fusion

Cell segmentation & cell-cell-connections

FL Cell Analysis App

AI segmentation of nuclei or membrane. Phenotype by marker, by co-expression, or by clustering

AI Authoring App

Train your own AI for segmentation of brightfield scans, e.g., H&E or IHC

Tile Export App

Exporting tiles, optionally with masks, to train AIs outside of MIKAIA®

available in MIKAIA® lite

IHC Cell Detection App

Quantifying IHC+ and IHC- cells in most nuclear, membranous, or cytoplasmic stains. Finding hotspots, cluster, group by ROI.

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Get in touch with us

Questions, remarks, feature
requests, project inquiries, …
email us: mikaia@iis.fraunhofer.de

Dr. Volker Bruns
Group Manager
Medical Image Analysis (MIA)
Digital Health and Analytics | Fraunhofer IIS

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