Combining photography and spectroscopy, spectral imaging enables us to see what no traditional color camera has seen before. The current trend is to miniaturize the technology and bring it towards industry. In this talk, I will first give a general introduction to the most common pitfalls of spectral imaging and the challenges that come with miniaturization. Major pitfalls include balancing cross-talk, quantum efficiency, illumination and the optics. Miniaturization has become possible thanks to the monolithic per-pixel integration of thin-film Fabry-Pérot filters on CMOS imaging sensors. I will explain the difficulty of using these cameras with non- telecentric lenses. This is a major concern because of the angular dependency of the thin-film filters. I will demonstrate how this important issue can be solved using a model-based approach.
Thomas Goossens is a doctoral student in Electrical Engineering at KU Leuven in collaboration with the Sensors and Optics group at IMEC in Belgium. He holds a Master's degree in mathematical engineering and a Bachelor's degree in computer science from KU Leuven. His current research focuses on modeling the effect of imaging optics on the performance of thin-film Fabry-Pérot based spectral cameras.