We report a multimodal endoscopic system capable of performing both color and fast multispectral imaging in the spectral range 400-1000 nm. The system is based on a computer controllable tunable light source, which can be coupled with all types of endoscopes. Performance evaluation showed about 60% flat transmittance in almost all the operating wavelengths, at about 13 nm bandwidth per tuning step. With this system adapted to a thin hysteroscope, we also report, for the first time, spectral analysis of the endometrium and unsupervised/objective clustering of the spectra. We have implemented a method combining the k-means algorithm with the silhouette criterion for estimating the number of the distinguishable spectral classes that may correspond to different medical conditions of the tissue. It was found that there are five-well defined clusters of spectra, while preliminary clinical data seem to correlate well with the tissue pathology.

Digital pupillography presents a "window" for studying the autonomous nervous system functionality, with an uprising research interest. Multiband pupillary responses are exploited only partially up to now, due to technological limitations of the devices developed so far and to the lack of the parameterization of the measured responses. We have developed a spectral binocular pupillographic device, capable of recording papillary responses to polychromatic stimuli spanning the entire visible spectrum. The recorded direct and consensual reflexes are further processed and novel pupil mobility indices such as velocity and acceleration vs. wavelength are calculated and displayed. The wavelength dependence of these parameters is studied for the first time and it is expected to be very informative for various pathologic conditions of the autonomous nervous system. The ultimate goal of this project is to develop a new diagnostic technology for the screening and diagnosis of a wide range of neurological pathologies.