Cloud-Based Software Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device

This paper proposes a cloud-based software architecture for fully automated point-of-care molecular diagnostic devices. The target system operates a cartridge consisting of an extraction body for DNA extraction and a PCR chip for amplification and fluorescence detection. To facilitate control and mo...

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Vydané v:Sensors (Basel, Switzerland) Ročník 21; číslo 21; s. 6980
Hlavní autori: Kil, Byeong-Heon, Park, Ji-Seong, Ryu, Mun-Ho, Park, Chan-Young, Kim, Yu-Seop, Kim, Jong-Dae
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 21.10.2021
MDPI
Predmet:
Automation
cloud-based
COVID-19
Emergency medical care
fully automated molecular diagnostic system
Medical diagnosis
Point of care testing
point-of-care
Software
User interface
web-based user interface
ISSN:1424-8220, 1424-8220
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Shrnutí:This paper proposes a cloud-based software architecture for fully automated point-of-care molecular diagnostic devices. The target system operates a cartridge consisting of an extraction body for DNA extraction and a PCR chip for amplification and fluorescence detection. To facilitate control and monitoring via the cloud, a socket server was employed for fundamental molecular diagnostic functions such as DNA extraction, amplification, and fluorescence detection. The user interface for experimental control and monitoring was constructed with the RESTful application programming interface, allowing access from the terminal device, edge, and cloud. Furthermore, it can also be accessed through any web-based user interface on smart computing devices such as smart phones or tablets. An emulator with the proposed software architecture was fabricated to validate successful operation.
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This paper is an extended version of the conference paper: Kil, B.-H.; Park, J.-S.; Park, C.-Y.; Kim, Y.-S.; Kim, J.-D. System Architecture for IIoT-Based POC Molecular Diagnostic Device. In Proceedings of the 8th Interna-tional Symposium on Sensor Science, 17–28 May 2021.
ISSN:1424-8220
1424-8220
DOI:10.3390/s21216980