Intelligence, Imaging & Integration Group

We develop computational microscopy for non-destructive, high-resolution 3D imaging. By co-designing optics, acquisition, and reconstruction, we recover structure from measurements encoded through tomography, laminography, ptychography, and phase modulation. The 3D structure is not directly available from these raw measurements and must be inferred through inverse problem. Low photon counts, limited angular/spatial coverage, aberrations, and scattering make this inference challenging. We integrate physical image-formation models with AI to estimate structure and imaging parameters. We aim to recover physically consistent structures while making the inference process more interpretable and the model itself more explainable. We co-design optics, acquisition, and physics-informed AI for non-destructive, high-resolution 3D imaging. Our research spans micro- and nanoscale imaging, including fluorescence microscopy and coherent imaging with light and X-rays, for biology and metrology. $I^3$ have joined a Basic Research Laboratory (BRL) team spanning the School of EE and the Departments of BBE and BCS.