We utilized Raspberry Pi 4B to develop a microbial monitoring system to simplify the microbial image-capturing process and facilitate the informatization of microbial observation results. The Raspberry Pi 4B firmware, developed under Python on the Linux platform, achieves sum verification of serial data, file upload based on TCP protocol, control of sequence light source and light valve, real-time self-test based on multithreading, and an experiment-oriented file management method. The system demonstrated improved code logic, scheduling, exception handling, and code readability.
Yin D, Cai X, Chen J, et al., 2023, Design of Single Plate Microbiological Monitoring System for Scientific Research. China High-Tech, 14: 104–106 + 118. https://www.doi.org/10.13535/j.cnki.10-1507/n.2023.14.30
Zhang J, Li Y, Zhang Z, et al., 2023, Design and implementation of Raspberry Pi Intelligent Flower Watering System. Computer Knowledge and Technology, 19(19): 107–109 + 116. https://www.doi.org/10.14004/j.cnki.ckt.2023.1091
Shi J, 2022, In-depth Exploration of Common Serial Data Asynchronous Communication Protocols. Microcontrollers & Embedded Systems.2022(7): 26–29.
Chen D, Chen C, 2017, Discussion on the Application of Microbiological Picture Shooting Technology. Chin J Clin Lab Sci. 35(10): 729–735. https://www.doi.org/10.13602/j.cnki.jcls.2017.10.03
Yu Q, Guan Y, Huang W, et al., 2023, Research on Aquaculture Water Quality Monitoring Unmanned Boat System Based on STM32 and Raspberry Pi. Fishery Modernization. 50(5): 33–42.
Cao X, 2021, Design and Implementation of Pathogenic Microorganism Sample Processing and Incubation Photographing System, thesis, Xidian University.