Real time Megapixel Multispectral Bioimaging

摘要

Spectral imaging involves capturing images at multiple wavelengths resulting in a data cube (x, y, λ) that allows mate-rials 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.