At MAP Lab, we use sound and light to see inside the brain and body. We turn these signals into insight to better monitor health and interact with the brain — from medical imaging to neural interfaces.
Acquire biological information from the brain and human body using acoustic and optical sensing technologies.
Examples:
Photoacoustic tomography uses "light in, sound out" to image the brain and body, with our work focusing on deep hemodynamics and transcranial brain imaging. Ultrasound imaging follows a "sound in, sound out" approach, where we develop large–field-of-view acoustic tomography systems and wearable modules for brain imaging.
Goal: Measure structure, blood flow, and physiological function.
Transform measured signals into meaningful biological information using AI and computational models.
Examples:
Image reconstruction converts measured signals into clear images of structure and function, focusing on sparse recovery from limited data and high-speed reconstruction for large-scale arrays. Intelligent diagnostics then uses AI to extract biological information, enabling quantitative analysis, decision support, and more accurate diagnosis.
Goal: Understand biological processes from imaging data.
Interact with biological systems through neuromodulation and neural interface technologies.
Examples:
Ultrasound neuromodulation uses sound to noninvasively modulate brain activity with high spatial precision, targeting neurodegenerative disorders and disorders of consciousness. Closed-loop BCIs enable real-time read–write interaction with the brain, with a focus on next-generation neural interfaces based on sound and light.
Goal: Program or control biological activity for research and therapeutic applications.