We describe an end-to-end image systems simulation that models a device capable of measuring fluorescence in the oral cavity. Our software includes a 3D model of the oral cavity and excitation-emission matrices of endogenous fluorophores that predict the spectral radiance of oral mucosal tissue. The predicted radiance is transformed by a model of the optics and image sensor to generate expected sensor image values. We compare simulated and real camera data from tongues in healthy individuals and show that the camera sensor chromaticity values can be used to quantify the fluorescence from porphyrins relative to the bulk fluorescence from multiple fluorophores (elastin, NADH, FAD, and collagen). Validation of the simulations supports the use of soft-prototyping in guiding system design for fluorescence imaging.
The results of design effort for infrared zoom systems using all reflective aspheric surfaces are described. Issues such as the paraxial design theory and aberration balancing are discussed in detail. Two all reflective zoom optical systems are disclosed clearly. Both of them are to be used with uncooled infrared detectors. The first design is an unobscured three mirror zoom system without any intermediate image, and the second is a three mirror system with central obscuration which forms an intermediate image. With the design theory further developed, this kind of systems can be designed for cooled infrared detectors, for which cold stop matching is an important issue.
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