Integrated sensors for diagnostics
The laboratory uses novel plasmonics and photonics sensors to develop next generation diagnostics to understand the make-up of human cancers and changes associated with therapy. We exploit uniquely designed nanomaterials and sensors to quantitatively analyze biomarkers and overcome clinical unmet needs. We also apply artificial intelligence (AI) to multiplexed measurements to increase diagnostic accuracy. We primarily focus on cancer, where there is a clear need for advanced and point-of-care diagnostic capabilities.
Key approaches include the following:
- Nanoplasmonic sensors for exosome analysis in cancer
- Digital diffraction diagnostic systems for global health applications
- Miniaturized optical system for point-of-care sensing
- Machine learning approaches for spectroscopy and imaging
Our interdisciplinary approach benefits from close collaboration with other groups in CSB and clinical investigators to develop new diagnostics.