Abstract：Infectious diseases caused by pathogenic microorganisms seriously threaten human health. At present, there are a
variety of microbial analysis methods, such as enzyme-linked immunosorbent assay, polymerase chain reaction and microscopebased
morphological detection methods, among which the morphological detection method has the characteristics of low cost
and high accuracy. With the development of computer technology and the continuous exploration of the application of artificial
intelligence (AI) in the field of biomedicine, automatic morphological recognition of microbiological images under the microscope
has become possible. This paper aims to analyze the application of morphological diagnosis techniques based on AI in viruses,
bacteria, parasites and fungi at home and abroad in recent years, and to discuss shortcomings and challenges of the existing research,
to further propose a new research idea: the development of a fully automatic portable highly pathogenic microorganism analyzer
using AI, miniaturization, automatic control and other technologies. The device will be used for real-time detection of pathogenic
microorganisms, which is of great significance for biosafety early warning.
孔令敏，刘恰，姜廷帅，卫娜，田越，崔骊，云庆辉. 基于深度学习病原微生物形态学检测方法的研究现状及展望[J]. 中国医疗设备, 2023, 38(9): 166-174.
KONG Lingmin, LIU Qia, JIANG Tingshuai, WEI Na, TIAN Yue, CUI Li, YUN Qinghui. Research Status and Prospects of Morphological Detection Methods for
Pathogenic Microorganisms Based on Deep Learning. China Medical Devices, 2023, 38(9): 166-174.
