Are we already at a point where AI is beginning to understand and shape the physical world? Researchers exploring Embodied AI – aka “intelligence with a body” – are starting to push exactly in that direction. We talked to Thomas Wittenberg, Chief...
The MIKAIA® Cell x Gene App can be used to analyze FISH (or similar, e.g., RNAscope), CISH, or spatial transcriptomics scans, including Xenium by 10x Genomics. For Xenium data in particular, this app is the right choice, supporting three types of...
Chromogenic in situ hybridization (CISH) is used to detect specific DNA or RNA sequences in tissue samples. It uses enzyme-based staining rather than fluorescence (FISH), allowing for high-resolution imaging, quantification, and analysis under...
Imagine a future where your vehicle not only transports you safely from A to B but also actively monitors your health, including cognitive load, during every journey. This vision is rapidly becoming a reality with the integration of health...
If you’re developing AI‑driven health technologies or medical robotics, you are moving fast – but clinical adoption and regulatory approval depend on something far less glamorous: the quality of your data.
MIKAIA® University is the central MIKAIA® learning portal.
You will find various app notes and video tutorials that outline typical MIKAIA® workflows.
Result of Grid Analysis App shows histological growth pattern and spatial heterogeneity
MIKAIA® AI Author used for Digital Pathology batch analysis
How can sensors and non-invasive procedures make healthcare more efficient? And how can we integrate novel medical technologies, for example the non-invasive measurement of intracranial pressure, into clinical routine...
© Fraunhofer IIS · 2026
Grit Nickel
Volker Bruns
Theresa Winkovich
Nadine Lang-Richter
Tobias Sebastian Zech
Michaela Benz
Matthias Struck