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METHODS

Computer Vision-Aided 2D Error Assessment and

Correction for Helix Bioprinting

Changxi Liu , Jia Liu , Chengliang Yang ,Yujin Tang *,Zhengjie Lin , Long Li , Hai Liang ,
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3
1
4
4
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Weijie Lu , Liqiang Wang *
1
1
1 State Key Laboratory of Metal Matrix Composites, School of Material Science and Engineering, Shanghai Jiao Tong
University, No. 800 Dongchuan Road, Shanghai, 200240, China
2 Department of Orthopaedics, Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi Key Laboratory
of Basic and Translational Research of Bone and Joint Degenerative Diseases, Guangxi Biomedical Materials Engineering
Research Center for Bone and Joint Degenerative Diseases, Baise, 533000, Guangxi, China
3 3D Printing Clinical Translational and Regenerative Medicine Center, Shenzhen Shekou People’s Hospital
4 Department of Stomatology, Shenzhen Shekou People’s Hospital
Abstract: Bioprinting is an emerging multidisciplinary technology for organ manufacturing, tissue repair, and drug screening.
The manufacture of organs in a layer-by-layer manner is a characteristic of bioprinting technology, which can also determine
the accuracy of constructs confined by the printing resolution. The lack of sufficient resolution will result in defect generation
during the printing process and the inability to complete the manufacture of complex organs. A computer vision-based method
is proposed in this study to detect the deviation of the printed helix from the reference trajectory and calculate the modified
reference trajectory through error vector compensation. The new printing helix trajectory resulting from the modified reference
trajectory error is significantly reduced compared with the original helix trajectory and the correction efficiency exceeded 90%.
Keywords: Bioprinting; Computer vision; Error detection; Quality assurance; Sobel operator

*Correspondence to: Liqiang Wang, State Key Laboratory of Metal Matrix Composites, School of Material Science and Engineering, Shanghai
Jiao Tong University, No. 800 Dongchuan Road, Shanghai, 200240, China; wang_liqiang@sjtu.edu.cn; Yujin Tang, Department of Orthopaedics,
Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi Key Laboratory of basic and translational research of Bone and
Joint Degenerative Diseases, Guangxi Biomedical Materials Engineering Research Center for Bone and Joint Degenerative Diseases, Baise,
533000, Guangxi, China; tangyujin196709@163.com.
Received: December 30, 2021; Accepted: February 7, 2022; Published Online: February 7, 2022

Citation: Liu C, Liu J, Yang C, et al., 2022, Computer Vision-Aided 2D Error Assessment and Correction for Helix Bioprinting. Int J Bioprint,
8(2):547. http://doi.org/10.18063/ijb.v8i2.547

1. Introduction At present, bioprinting is divided into extrusion-
based, injection-based, droplet, and stereolithography
As a novel and advanced method, bioprinting is developed bioprinting [6-8] . Extrusion-based bioprinting is the most
based on additive manufacturing technologies and has popular bioprinting method with much higher efficiency
attracted significant attention from academia and the than other bioprinting methods since it can support
medical sector since it may deliver a promising solution large-volume printing structures [9,10] . The power sources
to the shortage of organ for transplantation [1-3] . Although of extrusion-based bioprinting can be categorized into
artificial human heart was successfully produced by three types, that is, air pressure, rotation, and force, as
bioprinting technology, systematic investigations of shown in Figure 1A. These external forces push the
organ bioprinting are still rare, especially on the integrity bioink in the pipeline then the bioink is extruded from the
of organ and tissue regeneration . Hence, the utilization extrusion nozzle in a layer-by-layer manner, according to
[4]
of artificial bioprinted organs is still in its infancy and a predetermined trajectory and the organ manufacturing
facing tremendous challenges . model.
[5]
© 2022 Author(s). This is an Open-Access article distributed under the terms of the Creative Commons Attribution License, permitting distribution and
reproduction in any medium, provided the original work is properly cited.
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