High-resolution, dynamic monitoring of tissue properties for advanced microphysiological systems

Advancing microphysiological systems (MPS) requires not only biomimetic design but also precise and continuous monitoring of tissue function. Traditional endpoint assays provide limited insights into the dynamic behavior of engineered tissues, hindering reproducibility, validation, and translational impact. This PhD project aims to develop novel assays making use of imec's high-resolution, dynamic monitoring MPS platforms that integrates electrical, optical, and biochemical sensors directly within MPS. By capturing real-time changes in barrier integrity, metabolic activity, and cellular responses, these sensorized systems will generate multimodal datasets that improve our understanding of tissue physiology and drug responses. Combining sensor integration with advanced signal processing and machine learning, the student project will establish a robust framework for increased predictivity of complex in vitro models.