Topic: Neural imaging

Researchers from neuroscience, engineering and clinical practice will examine technologies for understanding brain function and treating disorders. Three tracks cover emerging neural recording and imaging methods, machine learning and brain-inspired computation, and clinical translation through neuroprosthetics, neuromodulation and brain-computer interfaces. The programme connects multiscale measurement, interpretable models, multimodal data and biomarkers with deployment challenges. Panels consider ethics, standards, clinical needs, careers and funding; posters, live demonstrations, exhibits

Computational imaging seeks to achieve novel capabilities and overcome conventional limitations by combining optics and algorithms. In this seminar, I will discuss two computational imaging technologies developed in Boston University Computational Imaging Systems lab, including Intensity Diffraction Tomography and Computational Miniature Mesoscope. In our intensity diffraction tomography system, we demonstrate 3D quantitative phase imaging on a simple LED array microscope. We develop both single-scattering and multiple-scattering models to image complex biological samples. In our Computational