Application and development of in vivo confocal microscopy in the diagnosis of microbial keratitis
10.3980/j.issn.1672-5123.2020.12.11
- VernacularTitle:活体共聚焦显微镜在微生物性角膜炎诊断中的应用进展
- Author:
Jian Lyu
1
,
2
Author Information
1. Department of Ophthalmology, the People'
2. s Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, Guangxi Zhuang Autonomous Region, China
- Publication Type:Review
- Keywords:
microbial keratitis;
in vivo confocal microscopy;
artificial intelligence;
review
- From:
International Eye Science
2020;20(12):2070-2073
- CountryChina
- Language:Chinese
-
Abstract:
Microbial keratitis(MK)is a common corneal blind eye disease in the world. Severe keratitis can cause irreversible complications and even lead to blindness. Rapididentification of pathogen is the key for early and accurate MK treatment and a large of clinical data indicated that identifying the type of infected microorganisms accurately and quickly is still a challenge for ophthalmologists. The in vivo confocal microscopy(IVCM)is a non-invasive imaging technology that can provide high-resolution images of all corneal layers in a fast and real-time manner, has been used in the diagnosis and follow-up of corneal diseases. In recent years, with the intersection and integration of disciplines, artificial intelligence has been used to identify the characteristic structures in microbial keratitis IVCM images, which has brought important value for accurate and rapid diagnosis of microbial keratitis. Therefore, this article will review the characteristics of confocal microscopy in the diagnosis of microbial keratitis and the application of artificial intelligence in the diagnosis of microbial keratitis. It is of great significance to promote the diagnosis and treatment of keratitis in the future.
- Full text:202012011.pdf
