期刊
INTERNATIONAL JOURNAL OF BIOPRINTING
卷 8, 期 2, 页码 174-186出版社
WHIOCE PUBL PTE LTD
DOI: 10.18063/ijb.v8i2.547
关键词
Bioprinting; Computer vision; Error detection; Quality assurance; Sobel operator
资金
- Shanghai Science and Technology Commission [51831011, 52011530181]
- [20S31900100]
This study proposes a computer vision-based method to detect and correct the deviation of printed helix in bioprinting process, significantly improving the accuracy and efficiency of the printing.
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%.
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