Strategy
The Nanoengineering Group focuses on research at the interface between fundamental nanoscience and applied engineering. Based on knowledge and experience in optics and photonics, current research combines optical engineering, photonics and plasmonics with nanotechnology, biomedical engineering and artificial intelligence, mainly for applications in medical diagnostics, food quality control and environmental monitoring. The group actively promotes technology transfer as a driver of innovative research. In 2024, the spin-off company Optec4Life was founded, a MedTech company that focuses on in vivo monitoring of physiological changes using Raman spectroscopy.
Early detection of Alzheimer's
We are investigating methods for holistic, non-invasive early detection of Alzheimer’s disease by measuring human body fluids using microscopy imaging and Raman, surface-enhanced Raman, and Fourier-transform infrared spectroscopy techniques, supported by artificial intelligence including data fusion.
We are investigating methods for holistic, non-invasive early detection of Alzheimer’s disease by measuring human body fluids using microscopy imaging and Raman, surface-enhanced Raman, and Fourier-transform infrared spectroscopy techniques, supported by artificial intelligence including data fusion.
Plasmonic biosensing
Our research group is pioneering the development of next-generation plasmonic biosensors that combine tailored nanostructures, precision surface chemistry, and advanced data analytics to detect biomolecules at the single-molecule level. By integrating hybrid plasmonic architectures with multivariate signal processing and machine-learning optimization, we achieve unprecedented sensitivity, selectivity, and robustness, enabling applications in biomedical diagnostics, food safety, and environmental monitoring.
Our research group is pioneering the development of next-generation plasmonic biosensors that combine tailored nanostructures, precision surface chemistry, and advanced data analytics to detect biomolecules at the single-molecule level. By integrating hybrid plasmonic architectures with multivariate signal processing and machine-learning optimization, we achieve unprecedented sensitivity, selectivity, and robustness, enabling applications in biomedical diagnostics, food safety, and environmental monitoring.
Photonic monitoring of physiology
We develop methods and devices for continuous non-invasive monitoring of physiological parameters of the human body
We develop methods and devices for continuous non-invasive monitoring of physiological parameters of the human body
Lung cancer detection through AI-driven spectroscopy
Unleashing a ground-breaking combination of vibrational spectroscopy, machine learning, and state-of-the-art statistics, we're redefining lung cancer detection—achieving astonishing accuracy and setting new standards in life-saving healthcare innovation.
Unleashing a ground-breaking combination of vibrational spectroscopy, machine learning, and state-of-the-art statistics, we're redefining lung cancer detection—achieving astonishing accuracy and setting new standards in life-saving healthcare innovation.
Vibrational spectroscopy in cell therapy
Liquid tumors can be treated by CAR T cell therapy (chimeric antigen receptor T-cell therapy) applied to live cells. Challenges include quality control, manufacturing, and safety, which may trigger immune responses in recipients. We're investigating Raman and Fourier-transform infrared spectroscopy throughout therapy, combined with artificial intelligence, to understand cell characteristics and enhance treatments.
Liquid tumors can be treated by CAR T cell therapy (chimeric antigen receptor T-cell therapy) applied to live cells. Challenges include quality control, manufacturing, and safety, which may trigger immune responses in recipients. We're investigating Raman and Fourier-transform infrared spectroscopy throughout therapy, combined with artificial intelligence, to understand cell characteristics and enhance treatments.
Research team
