Computer Vision-Aided 2D Error Assessment and Correction for Helix Bioprinting

Overview

Journal Int J Bioprint

Specialty Biomedical Engineering

Date 2022 Jun 7

PMID 35669319

Authors

Changxi Liu

Jia Liu

Chengliang Yang

Yujin Tang

Zhengjie Lin

Long Li

Hai Liang

Weijie Lu

Liqiang Wang

Affiliations

Soon will be listed here.

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%.

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