Parallel Interferometry and Computational Optics
Our group focuses on the development of advanced optical methods for functional imaging and sensing. Our mission is to strengthen and continue Polish traditions in Fourier-domain optical coherence tomography (FD-OCT) and diffuse optics.
We combine interferometry, signal processing, machine learning, and artificial intelligence to create novel optical tools capable of probing complex biological systems. Our research is driven by the idea that parallel interferometric detection schemes and computational approaches can significantly enhance sensitivity, speed, and functional contrast in optical measurements.
Our core research activities include:
- Brain sensing and functional neuroimaging, with a focus on interferometric near-infrared spectroscopy (iNIRS), interferometric speckle contrast optical spectroscopy (iSCOS) and their parallel versions,
- Spatio-temporal optical coherence tomography (STOC-T), including advanced signal processing and functional extensions,
- Development of computational imaging and data-driven methods for extracting physiological and functional information from interferometric data.
By bridging optical physics with modern computational techniques, we aim to deliver next-generation interferometric systems for biomedical research and functional studies of the brain and other complex tissues.
Principal Investigator
PhD Students
Research Engineers
Technical staff
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