High-throughput semiconductor PCR temperature control system based on BP neural network

Yinghui Li; Yuanhua Yu

doi:10.1117/12.3011612

7 December 2023 High-throughput semiconductor PCR temperature control system based on BP neural network

Yinghui Li, Yuanhua Yu

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129414K (2023) https://doi.org/10.1117/12.3011612
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

PCR is a commonly used molecular biology technique that is widely applied in gene detection and genetic engineering fields. By precise temperature control, the temperature control system can enhance the specificity and sensitivity of PCR reactions and reduce the generation of non-specific products. Additionally, the temperature control system enables high throughput and high-speed PCR reactions. In this design, the STM32 microcontroller is used as the core, and based on the characteristics of PCR technology, a Peltier-based thermoelectric cooling device with sensors is employed for real-time monitoring of temperature changes and precise temperature regulation using a PID algorithm based on the backpropagation (BP) neural network. Users can set the desired temperature curve and monitor real-time temperature data. The test results demonstrate that the temperature control system designed in this study exhibits excellent performance in all modules, with high throughput, high performance, and high reliability.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yinghui Li and Yuanhua Yu "High-throughput semiconductor PCR temperature control system based on BP neural network", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129414K (7 December 2023); https://doi.org/10.1117/12.3011612

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KEYWORDS

Temperature control

Control systems

Neural networks

Design and modelling

Evolutionary algorithms

Lithium

Microcontrollers

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