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...
Tag - MIKAIA® App Note
MIKAIA University App Notes are blog articles that provide a detailed, step-by-step demonstration of specific MIKAIA® apps or medical use cases. They illustrate how MIKAIA® can be used to make discoveries or automate quantitative analysis in Digital Pathology & Spatial Biology.
Grit Nickel
IHC Cell Detection App explained
The IHC Cell Detection App features a universal subcellular IHC cell AI that is compatible with a wide range of markers, tissues, and cell types. Our 23-minute video tutorial guides MIKAIA® step by step through the app...
Volker Bruns
MIKAIA mIF Cell Segmentation AI Gallery
This gallery highlights MIKAIA's mIF Cell Segmentation in the FL Cell Analysis App, featuring various examples and an overview of the AI's three segmentation modes and various cell typing options.
MIKAIA First Steps
New to MIKAIA®? This blog post is here to help you get started on your first steps.
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 IHC Cell Quantification AI Gallery
This gallery illustrates for a range of different tissue types and IHC markers the cell analysis quality of MIKAIA‘s IHC Cell Detection App. The app first unmixes the stain components, then uses an AI to delineate...
Overview of MIKAIA’s Spatial Analysis Apps for Multiplexed Immunofluorescence Slides
A strong suit of MIKAIA® is its wide portfolio of analysis apps for multiplexed immunofluorescence (mIF) / spatial proteomics. It can be used for both low-plex and high-plex panels and is compatbile with image formats...
More than AI-based Analysis: Discover Spatial Patterns in your Whole Slide Images with MIKAIA
How can the advanced AI analysis capabilities of MIKAIA® assist researchers and clinicians in analyzing their digital pathology and spatial biology data? This talk provides an overview of MIKAIA’s advanced...
Michaela Benz
Analyzing MACSima 47-plex mIF with MIKAIA: AI Cell Segmentation + Cell Typing + Cell-cell Connections + Cellular Neighborhoods
This MIKAIA® app note demonstrates how to analyze a 47-plex spatial proteomics scan created with MACSima ™ (by Miltenyi Biotec), utilizing sequential immunofluorescence for the analysis: Instrument: MACSima™ by Miltenyi...
High Content Imaging: Analyzing Ex-Vivo Drug Response Assays with MIKAIA
Researchers at the Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM) have developed PEDRA: Platform for Ex-Vivo Drug Response Assays. Up to 100 compounds are tested in parallel on primary patient...
