Oxygenation of the facial skin was evaluated in rosacea using a hyperspectral camera. A portable imaging system utilizing crossed-polarization optics for illumination and recording is described. Relative oxygen saturation was determined from rosacea features and compared with normal skin. Saturation maps and light absorption spectra showed a significant increase in the oxygen saturation of the blood in rosacea-affected skin.
We describe a non-invasive in vivo hyperspectral imaging technique for visualizing the spatial distribution of retina and optic nerve head (ONH) tissue oxygenation. Real time images of the fundus are acquired with continuous wavelengths (410-918 nm) to generate a data cube consisting of one spectral and two spatial dimensions. Reflected light from the one-dimensional (1-D) area of the sample is first passed through a grating and is then imaged onto a 12-bit silicone charge- coupled device (CCD) detector. A scanner then proceeds to the next 1-D area of the sample. Acquired image frames contain 256 spatial pixels and 256 wavelengths along rows and columns. Image sequences are scanned along the perpendicular spatial dimension using the push-broom method, whereby the spectrograph and camera are translated under constant velocity with respect to the fundus camera image over 6.6 mm of travel. This set of acquired images contains the full reflected light spectrum at each pixel of a two dimensional area of the retina and ONH. The system employs a focal plane scanner (FPS) using a linear actuator to provide motion. An algorithm processes spectral information at each pixel to represent the varying spatial distribution of retina and ONH tissue oxygenation. Imaging data are obtained from ONH tissue at both normal intraocular pressure (IOP) and acutely raised IOP.
Optical detection of fecal contamination on poultry carcasses is addressed in this paper. Specifically, a hyperspectral imaging system with a spectral range in the visible and near- infrared is used to capture imagery of a poultry carcass. A number of image processing routines are investigated for their effectiveness and efficiency at detecting feces. Based on the need for speed, the more simplistic mathematical operations seem to hold the most promise for detecting contaminated carcasses in real-time.
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