DISP Research Webpage


The Duke Imaging and Spectroscopy Program
The Duke Imaging and Spectroscopy Program is the computational optical sensors research program affiliated with the Department of Electrical and Computer Engineering, the Fitzpatrick Institute for Photonics and the Pratt School of Engineering at Duke University . DISP applies physical layer coding, generalized sampling and nonlinear signal processing to the development of optical spectroscopy, spectral and polarization imaging and application specific imaging systems spanning the UV to LWIR spectral ranges. Core research concepts include Anisomorphic signal inference. DISP uses spectral information to infer spatial structure, spatial measurements to get spectral or polarization measurements, etc. The point is that the geometry of the object, the geometry of the sensor and the geometry of the image need not be topologically equivalent. Physical layer data compression. Generalized sampling allows DISP to infer more object data points than we measure. Molecular imaging and chemometrics. DISP is often more interested in the identity of target objects than in their optical properties. DISP applies these core concepts to projects in digital imaging and spectroscopy. These projects build on DISP's proven track record of innovation in scientific theory and practice. Please take the time to read more about our history of innovation and our innovative people and publications.
					CASSI

					MAIS

					Tissue Spectroscopy

The Duke Imaging and Spectroscopy Program