摘要眼底影像诊断技术以光和影作为基础，在眼科领域发挥着重要作用，尤其是近年来多模影像技术不断进步和发展，在眼科临床的应用日益广泛。按照工作特征和原理的不同，眼底影像诊断技术可大致分为解剖性影像和功能性影像2个部分，此外，随着光和影技术在医学领域的应用范围更加广泛，眼科影像技术将逐渐朝着广域化、精细化、多模化、定量化和智能化的目标发展。因此，我们深知眼底的光和影远非仅如我们目前所见，尚有许多未解之谜仍待探索。新兴影像技术的临床化和产业化仍有很长的路要走，人工智能深度学习在眼科的应用亦存在潜在的挑战。多模影像技术有助于眼科疾病的精准诊断和动态监测，为眼科疾病治疗的选择提供了较好的参考依据。然而，面对诸多检查手段，眼科医生如何选择敏感性、特异性高的检查方法，避免医疗资源的浪费，尽可能降低患者的医疗负担成为眼科医生需要认真思考的问题。

abstractsMultimodal 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.