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 features, highlighting useful applications and relevant use cases that demonstrate how our image analysis software enables the discovery of spatial patterns in Whole Slide Images more effectively.
In this year’s Trillium Pathology, Volker Bruns (Fraunhofer IIS), Sonja Fritzsche (Max Delbrück Center for Molecular Medicine), and Fabian Coscia (Max Delbrück Center for Molecular Medicine) have contributed an article...
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...
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...
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
© Fraunhofer IIS 2025
Michaela Benz
Grit Nickel
Volker Bruns
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