Dr. Chao Zuo is a Zijin Chair Professor at Nanjing University of Science and Technology (NJUST), Distinguished Professor of "Changjiang Scholars Program", Ministry of Education of China. He leads the Smart Computational Imaging Laboratory (SCILab: www.scilaboratory.com) at the School of Electronic and Optical Engineering, NJUST, and is also the founder and director of the Smart Computational Imaging Research Institute of NJUST. He has long been engaged in the development of novel Computational Optical Imaging and Measurement technologies, with a focus on Phase Measuring Imaging Metrology such as Digital Holographic Microscopy (DHM), Noninterferometic Quantitative Phase Imaging (QPI), Fringe Projection Profilometry (FPP), and Structured Illumination Microscopy (SIM). He has published > 200 peer-reviewed articles with over 18,000 citations. These researches have been featured on journal cover (including Light, Optica, LPR, PhotoniX, AP, etc.) over 40 times. His growing cache of prestigious and highly regarded awards include EPS-QEOD Fresnel Prize, ICO-IUPAP Young Scientist Prize in Optics, the "Gold Medal with Congratulations of the Jury" at Geneva's International Exhibition of Inventions, etc. He currently serves as an Associate Editor of PhotoniX, Optics Letters, Optics and Lasers in Engineering, IEEE Transaction on Computational Imaging, Microwave and Optical Technology Letters, and Advanced Devices & Instrumentation. He is a Fellow of SPIE | Optica | IOP, and listed as a Clarivate Highly Cited Researcher. He served as an organizing committee member of more than 100 international conferences and congresses, and delivered >200 plenary/keynote/invited talks. He also served as the Optica/SPIE Student Chapter Advisor of NJUST.
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Zero-order suppression in slightly off-axis holography based on Fourier ptychographic reconstruction
Research on autofocus critical function in digital holography based on the discrete cosine transform
Single-exposure 3D label-free microscopy based on color-multiplexed intensity diffraction tomography
We demonstrate a label-free, scan-free intensity diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume three-dimensional (3-D) refractive index distributions
On the other hand, quantitative phase imaging is capable to image cells in 3D in real time through phase calculation. However, its resolution is limited by the optical diffraction and cannot observe intercellular changes below 200 nanometers.
In this work, fluorescence imaging and quantitative phase imaging are combined to build a multimodal imaging system. Such system has the capability to simultaneously observe the detailed intercellular phenomenon and 3D cell morphology. In this study the proposed multimodal imaging system is used to observe the cell behavior in the cell apoptosis. The aim is to highlight the limitations of fluorescence microscopy and to point out the advantages of multimodal quantitative phase and fluorescence imaging. The proposed multimodal quantitative phase imaging could be further applied in cell related biomedical research, such as tumor.
We use Visual Studio 2010 to build this software, which is based on MFC multi-documents and multi-threads. The main process of designing this software is as follow: 1) Firstly, build the main frame of the software. It is easy to realize the basic interface of Windows style by programming with MFC. The most important thing in this module is adding algorithms and the functions of tool buttons to the program. 2) Secondly, implement functionality of each sub module. In this software, sub modules mainly mean sub windows. In order to have the unity of style, all sub windows use the similar toolbar. Specially, if one sub window have its own functionality, we will add button alone. 3) Thirdly, pass messages among modules. Passing messages among modules is significant in this software. The news in main program must be transmitted to the relevant sub window. The operation information in any sub windows must be transmitted to the main program, or transmitted to other sub windows. In order to make the program more efficient, we utilize multi-thread programming. With a digital holographic microscope, our software has many useful features, such as capturing the hologram of a sample (Holo View), displaying its Fourier spectrum (Fourier View), unwrapping phase map (Phase View), digital refocusing intensity information (Intensity View), drawing 2D line across the sample (2D View) and displaying three-dimensional images (Plot View). The experimental results demonstrate that a digital holographic microscope could be used much easier with the help of our software.
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