Smart Computational Imaging (SCI) Lab
智能计算成像实验室
智能计算成像实验室
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Fields of research
| The Digital holographic microscopy group focuses on digital holographic quantitative phase imaging, including phase recovery technology based on deep learning, microscopic imaging techniques with slightly off-axis interference and the development and industrialization of digital holographic microscopes. |
| The Transport of intensity diffraction tomographic imaging group mainly focuses on 2D quantitative phase imaging and 3D RI tomographic computational microscopy techniques, including Transport of intensity equation, optical diffraction tomography, and intensity diffraction tomography. |
| The Fourier ptychographic microscopy group focuses on wide-field high-throughput computational microscopy techniques, including phase retrieval, super-resolution, and diffraction tomography techniques. |
| The Differential phase contrast microscopy group focuses on non-interferometric quantitative phase imaging and diffraction tomography, including DPC quantitative phase imaging, 3D DPC diffraction tomography, and the development of smart computational imaging microscopy. |
| The Label-free super-resolution imaging group develops novel microscopic techniques for research and industrial applications and explores the interdisciplinary of nanophotonics and metamaterials. |
| The Lens-free on-chip microscopy group focuses on researching wide-field pixel-super-resolution lens-free quantitative phase imaging techniques and developing economical and compact miniaturized microscopes. |
| The Light field microscopy group focuses on the mechanism of computational light field imaging and coherence retrieval and their applications |
 | The Structured illumination microscopy group focuses on super-resolution imaging techniques for long-term observations of live cells. |
| The Fluorescent super-resolution imaging group focuses on super-resolution microscopy techniques can bypass the optical diffraction limitation to visualise cellular structures, biomolecular distributions and biological processes. However, it is challenging to achieve in-depth imaging with sub diffractive resolution inside 3D bio samples, as deep tissues have high scattering and absorption for both excitation and emission light. Our team focus on developing and transforming a set of advanced imaging technologies for biomedical applications. We are also interested in transferring and designing on-chip super-resolution imaging technology。 |
| The Photoacoustic Imaging group is committed to developing photoacoustic imaging techniques with novel and advanced detection performance to provide precise diagnostic information with multi-parameter, multi-scale and functional recognition, and to explore new standards for in situ pathology detection. |
 | The Intelligent computational optical 3D imaging group facing the international academic frontiers of 3D imaging, the Intelligent Computational optical 3D imaging group studies novel 3D imaging approaches that focus on improvements on the accuracy, speed, robustness and other key elements using deep learning. |
 | The Fast fringe projection profilometry group is committed to the research of fast, real-time and high-precision structured light 3D imaging, in order to solve both high speed and high precision 3D shape measurement. |
| The Correlation-based 3D Measurement group studies high-speed, miniaturized, and full-perspective 3D measurement techniques and their applications based on structured light projection. |
 | The Microscopic Fringe Projection Profilometry group conducts research and engineering development work in the areas of high-precision industrial 3D imaging and inspection, 3D construction of large field of view scenes, and passive far-field super-resolution detection. |
| The Computational optoelectronic sensing and imaging group is dedicated to breakthrough the constraint between sensitivity and resolution of night vision devices that enable "Incoherent, Passive, Super-resolution" computational inversion reconstruction. |
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