Multimodal fundus imaging techniques, based on lights and shadows, appear to have a rapidly great progress in recent years.Fundus imaging techniques are divided into anatomical approaches and functional approaches according to the working characteristics and principle of different instruments.Nowadays, fundus imaging techniques are developing toward a wide field, microview, multimodal, quantitative, and intelligent way.However, to our knowledge, the fundus is very broad with many unexplored territories and unsolved mysteries until now.The road of clinical industrialization of emerging imaging techniques is still long, and there is also a potential challenge in the application of artificial intelligence deep learning in ophthalmology.Multimodal fundus imaging techniques are beneficial for us to accurately diagnose and dynamically monitor eye diseases, but with so many examination methods, how to choose a highly sensitive and specific way to avoid the waste of medical resources and reduce unnecessary financial burden of patients is the responsibility of ophthalmologists.