SMART SENSING insights

Cognitive Load Assessment: Uncertainty as a Pathway to Robustness

In an increasingly complex world, users must process more and more information which makes information processing and decision-making all the more complex. Understanding cognitive load (i.e., the measurement of the mental burden placed on an...

Key Takeaways of a Team-X Implementation Scenario: Becoming a Data Space Participant

It’s been three years since the launch of the “Trusted Ecosystem of Applied Medical Data eXchange (TEAM-X)”, the national project within the European GAIA-X network. In March 2025, Team-X celebrated the completion of their project at Fraunhofer...

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 Biotec Tissue: Synovial...

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-derived cells using High Content...

Size Matters. — How much Data does a Digital Pathologist actually Generate? 

It’s 2025 and a growing number of pathologists is already convinced, that going digital is worth it. (If you’re still on the fence, read our Ultimate Guide: 10 Things You Should Know about the Transformational Impact of Digital Pathology). One...

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