Spectral imaging involves capturing images at multiple wavelengths resulting in a data cube (x, y, λ) that allows materials
to be identified by its spectral signature. While hyperspectral imagers can provide high spectral resolution, they also
have major drawbacks such as cost, size, and the copious amounts of data in the image cube. Typically, the complete
hyperspectral data cube provides little additional information compared to only 3-8 discrete (multiwavelength) imaging
bands. We present two new approaches and related technologies where we are able to acquire spectral imaging data
stacks quickly and cost-effectively. Our two spectral imaging systems represent different approaches integrated with
standard CCD and CMOS imagers: sequential rotating filter wheels (RFWs) and lithographically patterned dichroic filter
arrays (DFAs). The RFW approach offers the ability for rapid configuration of a spectral system, and a whole new level
of self-contained image acquisition, processing and on-board display. The DFA approach offers the potential for ultra
compact imagers with acquisition of images of multiple wavelengths simultaneously, while still allowing for processing
and display steps to be built into the camera. Both approaches lend themselves production of multi-wavelength/spectral
imaging systems with differing features and advantages.
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