Acta Optica Sinica, Volume. 40, Issue 11, 1111003(2020)

Study on Manufacturing-Aid Optical Coherence Tomography

Ling Wang1,2, Jian Hao1, Zhongkun Wang2, and Mingen Xu1,2、*
Author Affiliations
  • 1School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China
  • 2Zhejiang Key Laboratory of Medical Information and Three-Dimensional Bioprinting, Hangzhou, Zhejiang 310018, China
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    A manufacturing-aid optical coherence tomography (M-OCT) method is proposed to achieve imaging with high-resolution, non-destructivity, full-depth, and large-volume. This method combines the discrete manufacturing principle and microtomography. High-resolution images are obtained by OCT in the discrete manufacturing process. OCT scan and discrete manufacturing are conducted simultaneously or alternately, which combines the image mosaic algorithm, the full-depth three-dimensional (3D) image of the manufacturing samples is obtained at the same time as the manufacturing is completed. Polymer scaffolds are constructed using the 3D printing technology for M-OCT verification, and the imaging results are consistent with those of microcomputed tomography (Micro-CT). Moreover, when compared with Micro-CT, M-OCT can more clearly distinguish the stack-fusion state of adjacent layers of materials and the manufacturing defects. The thickness of the printing layer, the pore diameters and the strut diameters of different regions are quantified using the high-resolution imaging results of M-OCT. The large-volume and high-resolution OCT provides a new method for monitoring the discrete manufacturing processes such as 3D printing, cell assembly, biological manufacturing, and automatic biopsy and the non-destructive tests.

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    Ling Wang, Jian Hao, Zhongkun Wang, Mingen Xu. Study on Manufacturing-Aid Optical Coherence Tomography[J]. Acta Optica Sinica, 2020, 40(11): 1111003

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 30, 2019

    Accepted: Mar. 10, 2020

    Published Online: Jun. 10, 2020

    The Author Email: Xu Mingen (xumingen@hdu.edu.cn.com)

    DOI:10.3788/AOS202040.1111003

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