Screening of Pre-Cancerous Oral Lesions via Dual-Spectral Autofluorescence

The proposed project will focus on expanding upon existing autofluorescence based cancer screening techniques. In particular, our efforts will be focused on using a dual-spectral approach to extract the intrinsic fluorescence of the sample. Current methods of autofluorescence based oral cancer screening capitalize on the fact that tumorous or pre-cancerous tissue exhibits reduced autofluorescence relative to healthy tissue. Because hemoglobin absorbs the autofluorescence emissions of interest, increased blood-flow to an area can results in false positives and unnecessary biopsies.

Supporting Light Steering Technology within the Future Cinema Ecosystem

With rapidly improving display technologies used in the home, cinema needs to remain competitive in terms of achieving the highest image quality on screen. While increasing the quantity of pixels is currently rolled out, so far nothing has been proposed to improve the quality of those pixels. Emerging prototype cinema displays are currently being show-cased which brings significant improvement over traditional cinema experience. However new display technology with different pixel quality require modification to the traditional cinema workflow.

Integrated Microlens Technology for Light Steering Projectors

MTT Innovation Inc. is a Canadian company that is based out of Vancouver, British Columbia. MTT develops technologies for next-generation projectors in home entertainment systems and theatres. The developed projectors are engineered to provide especially high quality images, with enhanced brightness and dynamic range, and an emerging product of MTT that targets these goals is their light steering projector. Such a projector is being developed through the proposed project as a partnership between MTT and researchers at the University of British Columbia's Okanagan campus.

Dynamic Light Redistribution Algorithm Advancement for High-Dynamic Range Digital Projection

This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational efficiency and improving contrast. This project will produce viable algorithms for light redistribution in cinema projectors.