What's New in Retinal Imaging?

Dear Colleagues,

Multi-modal imaging techniques, based on lights and shadows, are beneficial for us to accurately diagnose and dynamically monitor eye diseases. Recently, more innovative retinal imaging approaches have been introduced into clinical practice. Generally, these approaches can be divided into two subtypes: structural and functional imaging. Retinal structural imaging usually refers to OCT/OCTA, dye angiography, stereoscopic/wide-field/super-resolution/multispectral/retro mode imaging, adaptive optics, etc. Retinal functional imaging usually includes multi-wavelength autofluorescence and fluorescence lifetime imaging ophthalmoscopy, used to investigate the metabolism of RPE, in multispectral imaging, and to detect the blood oxygen saturation in retinal vasculature. Moreover, the modified applications of traditional imaging approaches improve our understanding of retinal diseases. For example, based on FA, we developed red free angiography to reveal more details in retina, and some specific retinal lesions can also be imaged better by ICGA compared with FA. Moreover, the modified enhanced vitreous imaging modality of spectral domain OCT can provide comparable pictures with swept source OCT. In addition, some retinal imaging techniques are still in the preclinical or laboratory phase, for example, polarization sensitivity OCT, which is also promising in the diagnosis of retinal diseases. Finally, AI deep learning is developing gradually in the area of retinal imaging, although there are still potential challenges.

The purpose of this Special Issue is to investigate the latest advances in retinal imaging including the application of new instruments, modification of traditional imaging approaches, new ideas on imaging analysis, optical markers, and AI algorithms that can reflect the pathogenesis of retinal diseases accurately to improve clinical decisions.

Prof. Dr. Rui Hua
Prof. Dr. Feng Wen
Prof. Dr. Meixia Zhang
Guest Editors

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