Cees Otto

Cees Otto is a Full Professor in Medical Cell Biophysics with extensive research contributions. His work focuses on leveraging advanced spectroscopic techniques for biomedical applications.

• Institutional Affiliation: Department of Medical Cell Biophysics
• Academic Rank: Professor

Research interests include:

• Raman Spectroscopy for disease diagnostics
• Medical imaging and spectroscopic analysis
• Inflammatory disease detection mechanisms
• Application of machine learning in spectroscopic data interpretation

Recent research output trends demonstrate a strong focus on using Raman spectroscopy for diagnosing arthritis-related conditions and leukemia subtypes. His work integrates correlative microscopy techniques (SEM-SERS, Raman-electron microscopy) for quantitative analysis of plasmonic nanoparticles and cellular structures.

Key collaborations and presentations include:

• Oral presentation at University of Twente (2019) on neural networks for extracellular vesicle classification
• Invited talks on integrated microscopy techniques (2016)
• Active participation in spectroscopy conferences