Evidence map›Paper›PMID 41767920›Full record

ArticleBiomedical optics express2025

Visible light optical coherence tomography for assessing retinal structure and function in diseased mouse models.

Qianyue Gu, Wenbo Xiu, Songzhi Wu, Kaiwen Li, Baihan Li, Zhenfei Tang, Chenlu Yan, Xiaogang Wang, Chong He, Fang Lu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Qianyue GuSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
Wenbo XiuClinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.
Songzhi WuSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
Kaiwen LiSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.ORCID https://orcid.org/0000-0002-4988-2687
Baihan LiSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
Zhenfei TangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
Chenlu YanSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
Xiaogang WangDepartment of Cataract, Shanxi Eve Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Chong HeClinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.
Fang LuClinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.
Zhao WangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.ORCID https://orcid.org/0000-0002-3628-5699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of retinal structure and function is critical for the early diagnosis of blinding eye diseases. Here, we develop a visible light OCT system that integrates high-resolution imaging, GPU-accelerated computing, and automated retinal layer segmentation algorithms that allow for three-dimensional high-definition retinal imaging and blood flow and oxygen saturation measurement for mouse models. We conducted a series of imaging experiments on diseased mouse models, including those with retinitis pigmentosa and glaucoma, and compared them with wild-type mice, and evaluated the OCT imaging results with histological analysis. We observed a reduction in retinal thickness in the retinitis pigmentosa model, along with damage to the inner/outer segment junctions and the outer nuclear layer. In the glaucoma model, the intensity of the ganglion cell layer relative to the internal limiting membrane was reduced. Both disease models exhibited decreased retinal arteriovenous and total blood flow, increased venous oxygen saturation, and a reduced arteriovenous oxygen saturation difference. We also compared the visible light OCT system with an 840 nm spectral domain OCT and a 1060 nm swept source OCT for mouse retinal imaging. The visualization and monitoring of retinal function and metabolic capacity using mouse models through visible light OCT may provide new opportunities for understanding the pathology of ocular diseases.

Identifiers

PMID41767920
PMCPMC12945528

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.