Smart Computational Imaging (SCI) Lab
智能计算成像实验室

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博士研究生李加基的基于光强传输方程的LED照明光学衍射断层显微镜论文发表于Optics and Lasers in Engineering

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发表时间:2019-07-10 00:00作者:SCILab来源:SCILab网址:http://www.sciencedirect.com/science/article/pii/S0143816617300647

  近日,本实验室博士研究生李加基在相位恢复与定量相位成像领域的文章"Optical diffraction tomography microscopy with transport of intensity equation using a light-emitting diode array"被Optics and Lasers in Engineering接收!


  • J. Li, Q. Chen, J. Zhang, Z. Zhang, Y. Zhang, and C. Zuo, "Optical diffraction tomography microscopy with transport of intensity equation using a light-emitting diode array," Optics and Lasers in Engineering 95, 26-34 (2017).

    [PDF]

    Abstract

    Optical diffraction tomography (ODT) is an effective label-free technique for quantitatively refractive index imaging, which enables long-term monitoring of the internal three-dimensional (3D) structures and molecular composition of biological cells with minimal perturbation. However, existing optical tomographic methods generally rely on interferometric configuration for phase measurement and sophisticated mechanical systems for sample rotation or beam scanning. Thereby, the measurement is suspect to phase error coming from the coherent speckle, environmental vibrations, and mechanical error during data acquisition process. To overcome these limitations, we present a new ODT technique based on non-interferometric phase retrieval and programmable illumination emitting from a light-emitting diode (LED) array. The experimental system is built based on a traditional bright field microscope, with the light source replaced by a programmable LED array, which provides angle-variable quasi-monochromatic illumination with an angular coverage of ±37 degrees in both x and y directions (corresponding to an illumination numerical aperture of ∼0.6). Transport of intensity equation (TIE) is utilized to recover the phase at different illumination angles, and the refractive index distribution is reconstructed based on the ODT framework under first Rytov approximation. The missing-cone problem in ODT is addressed by using the iterative non-negative constraint algorithm, and the misalignment of the LED array is further numerically corrected to improve the accuracy of refractive index quantification. Experiments on polystyrene beads and thick biological specimens show that the proposed approach allows accurate refractive index reconstruction while greatly reduced the system complexity and environmental sensitivity compared to conventional interferometric ODT approaches.