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Imaging, Instrumentation, and Signal Processing

The Imaging, Instrumentation and Signal Processing track reflects Northeastern University’s outstanding research profile in developing new technologies for visualizing biological processes and disease.  Our department has active federally funded research spanning a broad spectrum of relevant areas in instrument design, contrast agent development, and advanced computational modeling and reconstruction methods. Example research centers include the Chemical Imaging of Living Systems Institute, the Translational Biophotonics Cluster, and the B-SPIRAL signal processing group.

Imaging specific chemical processes in the body, Heather Clark

Associated Faculty & Staff

  • central nervous system regeneration model in C. elegans, femtosecond laser surgery; user-friendly and low-cost fluorescence microscopy
  • Optical nanosensors for biological analysis
  • Innovations in translational medical imaging devices to better diagnose cancers, low-cost point-of-care diagnostic tools to delivery life-saving medicines to the resource-poor regions, and high performance computing tools to facilitate the development of the next-generation imaging methods
  • Biomedical optics and non-invasive imaging, rare cell detection and tracking in the body, ultrafast time-domain diffuse optical imaging, image reconstruction and biomedical signal processing.
  • Developing chemical approaches to track and quantify important RNA processing events and modifications in single cells; DNA: protein interactions that drive differences in gene expression; understanding differences in RNA expression and the impacts on disease and development.
  • (1) physics-informed AI for engineering applications; (2) physics-encoded deep learning for scarce data interpretation; (3) data-driven governing law discovery; (4) smart and resilient infrastructure; (5) advanced sensing, big data analytics, machine/deep learning, uncertainty quantification and inverse computational mechanics with applications to civil infrastructure monitoring and resilience assessment