EDITORIAL article

Front. Photonics, 26 March 2025

Sec. Optical Information Processing and Holography

Volume 6 - 2025 | https://doi.org/10.3389/fphot.2025.1592919

Editorial: Ocular imaging technology and application

  • 1. Institute of Medical Technology, Peking University, Beijing, China

  • 2. Ocular Imaging Group, Singapore Eye Research Institute, Singapore, Singapore

Ocular imaging plays an essential role in contemporary clinical diagnosis and vision care. Advancements in technology have enabled more clinical studies to investigate detailed structural and functional changes in the eye. The widespread clinical adoption of these imaging techniques not only accelerates the discovery of relevant biomarkers but also reciprocally drives further improvements in imaging instrumentation. This positive feedback loop, which is precisely what this Research Topic aims to promote, will ultimately lead to enhanced vision healthcare and tangible benefits for patients.

This Research Topic on “Ocular Imaging Technology and Application,” comprising submissions from Frontiers in Photonics and Frontiers in Medicine, was expertly organized by Associate Editors Dr. Xinyu Liu (Peking University, China), Dr. Binyao Tan (Singapore Eye Research Institute, Singapore), and Dr. Xiaojun Yu (Northwestern Polytechnical University, China), under the supervision of Dr. Leopold Schmetterer (Medical University of Vienna, Austria). This Research Topic has been highly successful, publishing 14 articles—including original research (10), mini-reviews (2), and case reports (2)—selected from a total of 31 submissions.

Key highlights include studies by Wang et al., who utilized non-invasive imaging technologies for faster and less invasive diagnosis of polypoidal choroidal vasculopathy. Yang et al. observed subclinical retinal perfusion loss and choroidal thickening in acute myeloid leukemia, which partially resolved upon remission. Pieklarz et al. reported that reduced peripapillary choroidal vascularity may increase the risk of glaucomatous optic neuropathy. Cai et al. demonstrated the effectiveness of in vivo confocal microscopy in characterizing conjunctival nevi. Farias et al. evaluated machine learning algorithms for sex classification from retinal thickness data, highlighting total retinal thickness and RNFL as significant markers. Yao et al. found that uncomplicated phacoemulsification increased retinal and choroidal thickness in early diabetic retinopathy patients. Kaushik et al. reviewed advances in two-photon excitation fluorescence imaging, emphasizing adaptive optics and laser safety improvements. Liao et al. showed partial recovery of retinal vein diameter post-ranibizumab injections in retinal vein occlusion patients. Zhang et al. described recovery in peripapillary RNFL thickness following scleral buckling in rhegmatogenous retinal detachment. Liu et al. associated optic disc swelling in Vogt–Koyanagi–Harada disease with delayed treatment but fewer retinal exudations. Shi et al. highlighted the superiority of ultra-widefield SS-OCT in imaging vitreous cysts. Finally, Recchioni et al. confirmed SS-OCT’s reliability in anterior segment measurements across diverse ocular surface disorders.

Overall, this Research Topic featured the application of novel ocular imaging technologies, including OCT, OCTA, confocal microscopy, and two-photon imaging across various eye conditions. The emerging applications of artificial intelligence (AI) in ocular imaging analysis are particularly noteworthy, highlighting the field’s progression toward more precise, efficient, and personalized vision care.

Statements

Author contributions

XL: Writing–review and editing, Writing–original draft.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author declares that Gen AI was used in the creation of this manuscript. Generative AI is used to improve the language and to help writing summaries of articles.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

ocular imaging, OCT, OCTA, Research Topic, editorial

Citation

Liu X (2025) Editorial: Ocular imaging technology and application. Front. Photonics 6:1592919. doi: 10.3389/fphot.2025.1592919

Received

13 March 2025

Accepted

21 March 2025

Published

26 March 2025

Volume

6 - 2025

Edited and reviewed by

Ting-Chung Poon, Virginia Tech, United States

Updates

Copyright

*Correspondence: Xinyu Liu,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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