Cargando…

Electrohydrodynamic printing process monitoring by microscopic image identification

Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro-/nano-fibers and fabricate high-resolution scaffolds using viscous biopolymer solutions. However, less attention has been paid to the influence of EHDP jet characteristics and key process...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Jie, Jing, Linzhi, Fan, Xiaotian, Gao, Xueying, Liang, Yung C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Whioce Publishing Pte. Ltd. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481098/
https://www.ncbi.nlm.nih.gov/pubmed/32923733
http://dx.doi.org/10.18063/ijb.v5i1.164
_version_ 1783580529751228416
author Sun, Jie
Jing, Linzhi
Fan, Xiaotian
Gao, Xueying
Liang, Yung C.
author_facet Sun, Jie
Jing, Linzhi
Fan, Xiaotian
Gao, Xueying
Liang, Yung C.
author_sort Sun, Jie
collection PubMed
description Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro-/nano-fibers and fabricate high-resolution scaffolds using viscous biopolymer solutions. However, less attention has been paid to the influence of EHDP jet characteristics and key process parameters on deposited fiber patterns. To ensure the printing quality, it is very necessary to establish the relationship between the cone shapes and the stability of scaffold fabrication process. In this work, we used a digital microscopic imaging technique to monitor EHDP cones during printing, with subsequent image processing algorithms to extract related features, and a recognition algorithm to determine the suitability of Taylor cones for EHDP scaffold fabrication. Based on the experimental data, it has been concluded that the images of EHDP cone modes and the extracted features (centroid, jet diameter) are affected by their process parameters such as nozzle-substrate distance, the applied voltage, and stage moving speed. A convolutional neural network is then developed to classify these EHDP cone modes with the consideration of training time consumption and testing accuracy. A control algorithm will be developed to regulate the process parameters at the next stage for effective scaffold fabrication.
format Online
Article
Text
id pubmed-7481098
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Whioce Publishing Pte. Ltd.
record_format MEDLINE/PubMed
spelling pubmed-74810982020-09-11 Electrohydrodynamic printing process monitoring by microscopic image identification Sun, Jie Jing, Linzhi Fan, Xiaotian Gao, Xueying Liang, Yung C. Int J Bioprint Research Article Electrohydrodynamic printing (EHDP) is able to precisely manipulate the position, size, and morphology of micro-/nano-fibers and fabricate high-resolution scaffolds using viscous biopolymer solutions. However, less attention has been paid to the influence of EHDP jet characteristics and key process parameters on deposited fiber patterns. To ensure the printing quality, it is very necessary to establish the relationship between the cone shapes and the stability of scaffold fabrication process. In this work, we used a digital microscopic imaging technique to monitor EHDP cones during printing, with subsequent image processing algorithms to extract related features, and a recognition algorithm to determine the suitability of Taylor cones for EHDP scaffold fabrication. Based on the experimental data, it has been concluded that the images of EHDP cone modes and the extracted features (centroid, jet diameter) are affected by their process parameters such as nozzle-substrate distance, the applied voltage, and stage moving speed. A convolutional neural network is then developed to classify these EHDP cone modes with the consideration of training time consumption and testing accuracy. A control algorithm will be developed to regulate the process parameters at the next stage for effective scaffold fabrication. Whioce Publishing Pte. Ltd. 2018-12-14 /pmc/articles/PMC7481098/ /pubmed/32923733 http://dx.doi.org/10.18063/ijb.v5i1.164 Text en Copyright: © 2018 Sun J, et al. http://creativecommons.org/licenses/cc-by-nc/4.0/ This is an open-access article distributed under the terms of the Attribution-NonCommercial 4.0 International 4.0 (CC BY-NC 4.0), which permits all non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited.
spellingShingle Research Article
Sun, Jie
Jing, Linzhi
Fan, Xiaotian
Gao, Xueying
Liang, Yung C.
Electrohydrodynamic printing process monitoring by microscopic image identification
title Electrohydrodynamic printing process monitoring by microscopic image identification
title_full Electrohydrodynamic printing process monitoring by microscopic image identification
title_fullStr Electrohydrodynamic printing process monitoring by microscopic image identification
title_full_unstemmed Electrohydrodynamic printing process monitoring by microscopic image identification
title_short Electrohydrodynamic printing process monitoring by microscopic image identification
title_sort electrohydrodynamic printing process monitoring by microscopic image identification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481098/
https://www.ncbi.nlm.nih.gov/pubmed/32923733
http://dx.doi.org/10.18063/ijb.v5i1.164
work_keys_str_mv AT sunjie electrohydrodynamicprintingprocessmonitoringbymicroscopicimageidentification
AT jinglinzhi electrohydrodynamicprintingprocessmonitoringbymicroscopicimageidentification
AT fanxiaotian electrohydrodynamicprintingprocessmonitoringbymicroscopicimageidentification
AT gaoxueying electrohydrodynamicprintingprocessmonitoringbymicroscopicimageidentification
AT liangyungc electrohydrodynamicprintingprocessmonitoringbymicroscopicimageidentification