Matrix Ultra-Large Throughput Nucleic Acid Detection System Based on Artificial Intelligence
1. School of Information Engineering, China Jiliang University, Hangzhou 310018, China
2. Hangzhou Anyu Technologies Co., Ltd., Hangzhou 310000, China
| Abstract: | Since the end of 2019, the novel coronavirus pneumonia has spread widely around the world. China has adopted a precise prevention and control plan, which requires testing a large number of samples in the shortest possible time, especially in special places with limited space such as shelters and mobile testing vehicles. Therefore, it is very important to improve the single nucleic acid detection throughput of the equipment and increase the detection speed. Currently, the world's highest throughput nucleic acid detection instrument is 96-well. How to increase throughput in a machine while reducing scanning time and increasing detection speed is a key core technology. This paper proposes a creative multi-distribution concept using a matrix, which divides the 240-well detection throughput equipment into 5 independent subsystems, which can detect simultaneously or operate independently under special circumstances. The intelligent scheduling algorithm based on the particle swarm algorithm is used to intelligently identify the status of each independent distribution sub-matrix for control, and combined with the nucleic acid rapid detection technology based on fluorescence quantitative PCR, the efficiency of nucleic acid detection is greatly improved. After experiments, the equipment can complete the detection of 240 samples in 50 minutes, which is a great improvement compared with traditional nucleic acid detection equipment. |
| Keywords: | Novel Coronavirus Pneumonia; Multi-distribution of Matrices; Intelligent Scheduling Algorithm; PCR Test |
| DOI: | 10.57237/j.cst.2024.01.001 |
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Received: 19 October 2023
Accepted: 13 November 2023
Published Online: 27 December 2023
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