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...
Tag - Multimodal Data
Michaela Benz
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
Precision Matters: Wearable Validation for Professional Sports
For many, wearables such as smartwatches or smart rings have become an integral part of everyday life. Particularly in sports and fitness, consumer wearables play a crucial role in tracking health data and individual...
Nadine Lang-Richter
Anna Chiwona
maphera – Transferring from Research to Market
The Fraunhofer innovation system is built on knowledge transfer and turning ideas into solutions. One technology currently on its journey from research to market is maphera® , our wireless modular sensor network. The...
Grit Nickel
Evolving to Meet Individual Needs: From Standardized to Personalized Healthcare
In the hopefully not too distant future, artificial intelligence (AI) and sensors will be present along the entire patient journey, both helping to gather and analyze individual patient data. At the same time...
Christian Münzenmayer
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...
Acquiring Multimodal Data in the Driving Simulator
To advance the development of innovative driver monitoring systems, it is essential to acquire multimodal data that includes driving behavior, driver states, well-being, and cognitive load. However, to achieve high...
Gait Analysis: Enhancing Parkinson’s Care
Parkinson’s disease is the second most common neurodegenerative disease after Alzheimer’s, characterized by the progressive loss of nerve cells. As the disease progresses, both motor and non-motor symptoms...
Yvonne Neß
Clock Drifts & Synchronization in Wireless Sensor Networks
Once all wireless sensor nodes are developed and ready for use, a major milestone towards conducting multimodal experiments is achieved. But this is just the first step. Wireless sensor networks must ensure data...
Markus Jechow
maphera: Plug and Research
Collecting high-quality physiological data is fundamental to applied research and the broader field of personalized healthcare. Quality data – such as ECG, pulse, EEG, and EMG – is also essential for training AI...
