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Micromachines
Volume 15
Issue 5
10.3390/mi15050606
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Communication

Fast and Massive Pixel-Level Morphology Detection by Imaging Processing for Inkjet Printing

by
Haoyang Zhang
1,†,
Da Xu
1,†,
Shanrong Ke
1,
Meicong Huang
1,
Yaling Chai
2,
Yi Lin
1,
Ziquan Guo
1,* and
Zhong Chen
1
1
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
2
College of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Micromachines 2024, 15(5), 606; https://doi.org/10.3390/mi15050606
Submission received: 28 March 2024 / Revised: 27 April 2024 / Accepted: 28 April 2024 / Published: 30 April 2024
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Abstract

With the rapid development of the emerging intelligent, flexible, transparent, and wearable electronic devices, such as quantum-dot-based micro light-emitting diodes (micro-LEDs), thin-film transistors (TFTs), and flexible sensors, numerous pixel-level printing technologies have emerged. Among them, inkjet printing has proven to be a useful and effective tool for consistently printing micron-level ink droplets, for instance, smaller than 50 µm, onto wearable electronic devices. However, quickly and accurately determining the printing quality, which is significant for the electronic device performance, is challenging due to the large quantity and micron size of ink droplets. Therefore, leveraging existing image processing algorithms, we have developed an effective method and software for quickly detecting the morphology of printed inks served in inkjet printing. This method is based on the edge detection technology. We believe this method can greatly meet the increasing demands for quick evaluation of print quality in inkjet printing.
Keywords: printed electronic devices; inkjet printing; image processing; edge detection; pixel level printed electronic devices; inkjet printing; image processing; edge detection; pixel level

Share and Cite

MDPI and ACS Style

Zhang, H.; Xu, D.; Ke, S.; Huang, M.; Chai, Y.; Lin, Y.; Guo, Z.; Chen, Z. Fast and Massive Pixel-Level Morphology Detection by Imaging Processing for Inkjet Printing. Micromachines 2024, 15, 606. https://doi.org/10.3390/mi15050606

AMA Style

Zhang H, Xu D, Ke S, Huang M, Chai Y, Lin Y, Guo Z, Chen Z. Fast and Massive Pixel-Level Morphology Detection by Imaging Processing for Inkjet Printing. Micromachines. 2024; 15(5):606. https://doi.org/10.3390/mi15050606

Chicago/Turabian Style

Zhang, Haoyang, Da Xu, Shanrong Ke, Meicong Huang, Yaling Chai, Yi Lin, Ziquan Guo, and Zhong Chen. 2024. "Fast and Massive Pixel-Level Morphology Detection by Imaging Processing for Inkjet Printing" Micromachines 15, no. 5: 606. https://doi.org/10.3390/mi15050606

APA Style

Zhang, H., Xu, D., Ke, S., Huang, M., Chai, Y., Lin, Y., Guo, Z., & Chen, Z. (2024). Fast and Massive Pixel-Level Morphology Detection by Imaging Processing for Inkjet Printing. Micromachines, 15(5), 606. https://doi.org/10.3390/mi15050606

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