Precise delineation of brain tumor during neurosurgery remains difficult with current surgical microscopes. We address this challenge by focusing on visualizing the brain's microarchitecture with wide-field imaging Mueller polarimetry, and assuming that absence of brain fibers is a marker of cancer. Our studies demonstrated that polarimetric maps provide valuable information for fiber tracking. Current system requires 16 sequential intensity measurements followed by complex data processing. However, a simplified partial Mueller polarimeter can provide the same diagnostic information at video rate, thus, opening an avenue for translation of this modality to clinical settings. This project aims to integrate and evaluate a new partial polarimetric imaging system for real-time data acquisition. You will focus on calibration and optimization of polarimetric instrument using various methods, and testing the system with calibration samples and brain phantoms. A major challenge consists of defining robust performance assessment metrics. This project offers hands-on experience in optical physics, image processing, and understanding real-world medical applications. As part of a large multidisciplinary team, you will collaborate with the experts in various fields. Applicant profile: Master’s student with a focus on physics/photonics/biomedical engineering. Required skills: Basic hands-on knowledge in optics, image processing and programming. Interest in biomedical applications.