Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication

Jie Sun; Linzhi Jing; Ningpin Zhan; Dejian Huang; Yung C. Liang

doi:10.1145/3397391.3397452

Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication

Jie Sun, Linzhi Jing, Ningpin Zhan, Dejian Huang, Yung C. Liang

Department of Mechatronics and Robotics

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

Abstract

Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro/nanofibers, and fabricate high resolution scaffolds using viscous biopolymer solutions. In order to ensure the reliable printing, it is very necessary to identify EHDP cone status during fabrication. In this work, we used a digital microscopic imaging technique to monitor EHDP cones during printing, with subsequent image processing. A convolutional neural network (CNN) is then developed to classify these EHDP cones. With the help of this monitoring and identification system, scaffolds with diverse triangular, hexagonal and coil-wall microstructures can be fabricated for tissue engineering applications.

Original language	English
Title of host publication	Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology, ICBET 2020
Publisher	Association for Computing Machinery
Pages	305-310
Number of pages	6
ISBN (Electronic)	9781450377249
DOIs	https://doi.org/10.1145/3397391.3397452
Publication status	Published - 15 Sept 2020
Event	10th International Conference on Biomedical Engineering and Technology, ICBET 2020 - Tokyo, Japan Duration: 15 Sept 2020 → 18 Sept 2020

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	10th International Conference on Biomedical Engineering and Technology, ICBET 2020
Country/Territory	Japan
City	Tokyo
Period	15/09/20 → 18/09/20

Keywords

Convolutional neural network
Electrohydrodynamic jetting
Image processing
Scaffold fabrication

Access to Document

10.1145/3397391.3397452

Cite this

Sun, J., Jing, L., Zhan, N., Huang, D., & Liang, Y. C. (2020). Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication. In Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology, ICBET 2020 (pp. 305-310). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3397391.3397452

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title = "Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication",

abstract = "Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro/nanofibers, and fabricate high resolution scaffolds using viscous biopolymer solutions. In order to ensure the reliable printing, it is very necessary to identify EHDP cone status during fabrication. In this work, we used a digital microscopic imaging technique to monitor EHDP cones during printing, with subsequent image processing. A convolutional neural network (CNN) is then developed to classify these EHDP cones. With the help of this monitoring and identification system, scaffolds with diverse triangular, hexagonal and coil-wall microstructures can be fabricated for tissue engineering applications.",

keywords = "Convolutional neural network, Electrohydrodynamic jetting, Image processing, Scaffold fabrication",

author = "Jie Sun and Linzhi Jing and Ningpin Zhan and Dejian Huang and Liang, {Yung C.}",

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Sun, J, Jing, L, Zhan, N, Huang, D & Liang, YC 2020, Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication. in Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology, ICBET 2020. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 305-310, 10th International Conference on Biomedical Engineering and Technology, ICBET 2020, Tokyo, Japan, 15/09/20. https://doi.org/10.1145/3397391.3397452

Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication. / Sun, Jie; Jing, Linzhi; Zhan, Ningpin et al.
Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology, ICBET 2020. Association for Computing Machinery, 2020. p. 305-310 (ACM International Conference Proceeding Series).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication

AU - Sun, Jie

AU - Jing, Linzhi

AU - Zhan, Ningpin

AU - Huang, Dejian

AU - Liang, Yung C.

PY - 2020/9/15

Y1 - 2020/9/15

N2 - Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro/nanofibers, and fabricate high resolution scaffolds using viscous biopolymer solutions. In order to ensure the reliable printing, it is very necessary to identify EHDP cone status during fabrication. In this work, we used a digital microscopic imaging technique to monitor EHDP cones during printing, with subsequent image processing. A convolutional neural network (CNN) is then developed to classify these EHDP cones. With the help of this monitoring and identification system, scaffolds with diverse triangular, hexagonal and coil-wall microstructures can be fabricated for tissue engineering applications.

AB - Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro/nanofibers, and fabricate high resolution scaffolds using viscous biopolymer solutions. In order to ensure the reliable printing, it is very necessary to identify EHDP cone status during fabrication. In this work, we used a digital microscopic imaging technique to monitor EHDP cones during printing, with subsequent image processing. A convolutional neural network (CNN) is then developed to classify these EHDP cones. With the help of this monitoring and identification system, scaffolds with diverse triangular, hexagonal and coil-wall microstructures can be fabricated for tissue engineering applications.

KW - Convolutional neural network

KW - Electrohydrodynamic jetting

KW - Image processing

KW - Scaffold fabrication

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M3 - Conference Proceeding

AN - SCOPUS:85088166087

T3 - ACM International Conference Proceeding Series

SP - 305

EP - 310

BT - Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology, ICBET 2020

PB - Association for Computing Machinery

T2 - 10th International Conference on Biomedical Engineering and Technology, ICBET 2020

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Sun J, Jing L, Zhan N, Huang D, Liang YC. Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication. In Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology, ICBET 2020. Association for Computing Machinery. 2020. p. 305-310. (ACM International Conference Proceeding Series). doi: 10.1145/3397391.3397452

Electrohydrodynamic Printing Process Monitoring for Diverse Microstructure Bioscaffold Fabrication

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