Computational Imaging

Computational Imaging

Computational imaging is an advanced field that merges computational algorithms with smart optical design to extract more information from visual data than traditional imaging methods can achieve. Computational imaging aims to overcome the limitations of conventional 2D imaging, which can be hindered by physical constraints such as aberration, noise, and exposure time. However, most of the computational imaging technologies are limited to universal applications. We propose the meta-imaging sensor and wide-field wavefront sensor that enable multi-site aberration estimation and correction across various applications without necessitating additional hardware modifications to the optical frontend. Our methods open new avenues for applying computational imaging technology in fields such as remote sensing, astronomical observation, industrial inspection, autonomous driving and precise healthcare.

Representative publications

  • Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue, Cell 2023

  • Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imaging, Nature Methods 2023

  • Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit, Nature Biotechnology 2023

  • Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes, Nature Biotechnology 2023

  • An integrated imaging sensor for aberration-corrected 3D photography, Nature 2022

  • sA digital mask to safeguard patient privacy, Nature Medicine 2022

  • Evaluation and development of deep neural networks for image super-resolution in optical microscopy, Nature methods 2021

  • Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale, Cell 2021

  • Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy, Nature communications 2021

  • A modular hierarchical array camera, Light: Science & Applications 2021

  • Mirror-enhanced scanning light-field microscopy for long-term high-speed 3D imaging with isotropic resolution, Light: Science & Applications 2021

  • DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning, Light: Science & Applications 2021

  • Unsupervised content-preserving transformation for optical microscopy, Light: Science & Applications 2021

  • Super-resolution imaging of fluorescent dipoles via polarized structured illumination microscopy, Nature communications 2019

  • Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution, Nature photonics 2019