• Journal of Innovative Optical Health Sciences
  • Vol. 16, Issue 2, 2230008 (2023)
Beibei Gao*, Lu Gao**, and Fu Wang***
Author Affiliations
  • School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
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    DOI: 10.1142/S1793545822300087 Cite this Article
    Beibei Gao, Lu Gao, Fu Wang. Single-cell volumetric imaging with light field microscopy: Advances in systems and algorithms[J]. Journal of Innovative Optical Health Sciences, 2023, 16(2): 2230008 Copy Citation Text show less

    Abstract

    Single-cell volumetric imaging is essential for researching individual characteristics of cells. As a nonscanning imaging technique, light field microscopy (LFM) is a critical tool to achieve real-time three-dimensional imaging with the advantage of single-shot. To address the inherent limits including nonuniform resolution and block-wise artifacts, various modified LFM strategies have been developed to provide new insights into the structural and functional information of cells. This review will introduce the principle and development of LFM, discuss the improved approaches based on hardware designs and 3D reconstruction algorithms, and present the applications in single-cell imaging.Single-cell volumetric imaging is essential for researching individual characteristics of cells. As a nonscanning imaging technique, light field microscopy (LFM) is a critical tool to achieve real-time three-dimensional imaging with the advantage of single-shot. To address the inherent limits including nonuniform resolution and block-wise artifacts, various modified LFM strategies have been developed to provide new insights into the structural and functional information of cells. This review will introduce the principle and development of LFM, discuss the improved approaches based on hardware designs and 3D reconstruction algorithms, and present the applications in single-cell imaging.
    Beibei Gao, Lu Gao, Fu Wang. Single-cell volumetric imaging with light field microscopy: Advances in systems and algorithms[J]. Journal of Innovative Optical Health Sciences, 2023, 16(2): 2230008
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