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, Weijie Lu, Liqiang Wang

Article ID: 547
Vol 8, Issue 2, 2022, Article identifier:

VIEWS - 509 (Abstract) 244 (PDF)

I

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

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References


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DOI: http://dx.doi.org/10.18063/ijb.v8i2.547

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