We aim to develop a concept where physics, computer science and applied mathematics will enable faster imaging than with conventional techniques. To do so, we propose to shape light with spatial light modulators, which will allow the acquisition of multiple pixels at once and provide improved signal-to-noise ratios. Inspired by recent advances in artificial intelligence, we will develop neural networks capable of reconstructing high spectral resolution images in real time.

We will transfer these new methods to the operating room for image-guided neurosurgery. By providing real-time hyperspectral information during surgery, we hope to limit the need for intraoperative biopsies by making the surgical procedure safer and less invasive.