Application and progress of highcontent imaging in molecular biology

Humans have adopted many different methods to explore matter imaging, among which high content imaging (HCI) could conduct automated imaging analysis of cells while maintaining its structural and functional integrity. Meanwhile, as one of the most important research tools for diagnosing human diseases, HCI is widely used in the frontier of medical research, and its future application has attracted researchers' great interests. Here, the meaning of HCI was briefly explained, the history of optical imaging and the birth of HCI were described, and the experimental methods of HCI were described. Furthermore, the directions of the application of HCI were highlighted in five aspects: protein localization changes, gene identification, chemical and genetic analysis, microbiology, and drug discovery. Most importantly, some challenges and future directions of HCI were discussed, and the application and optimization of HCI were expected to be further explored. Human tools for medical research have evolved from magnifying glasses to light microscopes to high-content imaging (HCI). HCI allows automated imaging and analysis of cells while maintaining their structural and functional integrity, and is therefore widely used in cutting-edge areas of medical research, such as the five areas of changes in protein localization, gene identification, chemical and genetic analyses, microbiology, and drug discovery. The role of HCI in future applications is expected. image

Automated summary

HCI is a research tool that allows automated imaging and analysis of cells while maintaining their structural and functional integrity. It is widely used in cutting-edge areas of medical research and has attracted great interest from researchers. This article provides a brief explanation of HCI, describes the history of optical imaging and the birth of HCI, and discusses its experimental methods. It also highlights the directions of its application in protein localization changes, gene identification, chemical and genetic analysis, microbiology, and drug discovery, while discussing the challenges and future directions of HCI. The application and optimization of HCI are expected to be further explored.