ArticleTranslational vision science & technology2023
Longitudinal Analysis of Retinal Ganglion Cell Damage at Individual Axon Bundle Level in Mice Using Visible-Light Optical Coherence Tomography Fibergraphy.
Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 11 citations in OpenAlex.
- 100-degree Non-Contact Retinal Imaging in Mice Using a Multimodal Vis-OCT and SLO System.IEEE photonics technology letters : a publication of the IEEE Laser and Electro-optics Society · 2026Article
- IL-1-mediated vitreous inflammation as an early indicator of retinal ganglion cell loss following acute optic nerve injury.Journal of neuroinflammation · 2026Article
- Vitreous Inflammation as an Early Indicator of Retinal Ganglion Cell Loss Following Acute Optic Nerve Injury in Mice.bioRxiv : the preprint server for biology · 2025Article
- Longitudinal Structural and Microvascular Imaging of Mouse Retina After Optic Nerve Crush Using Temporal Speckle-Averaging Visible Light OCT.Investigative ophthalmology & visual science · 2025Article
- Integrated visible-light optical coherence tomography and fluorescence scanning laser ophthalmoscopy to image retinal ganglion cell axons.Biomedical optics express · 2025Article
- Visible-light optical coherence tomography and its applications.Neurophotonics · 2025Review
- Review
- Visible-Light Optical Coherence Tomography Fibergraphy of the Tree Shrew Retinal Ganglion Cell Axon Bundles.IEEE transactions on medical imaging · 2024Article
- Longitudinal imaging of vitreal hyperreflective foci in mice with acute optic nerve damage using visible-light optical coherence tomography.Optics letters · 2024Article
- Article
- Hyperreflective Dots in Central Fovea Visualized by a Novel Application of Visible-Light Optical Coherence Tomography.Case reports in ophthalmological medicine · 2024Article
- Alignment of Visible-Light Optical Coherence Tomography Fibergrams with Confocal Images of the Same Mouse Retina.Journal of visualized experiments : JoVE · 2023Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Purpose: We developed a new analytic tool based on visible-light optical coherence tomography fibergraphy (vis-OCTF) to longitudinally track individual axon bundle transformation as a new in vivo biomarker for retinal ganglion cell (RGC) damage. Methods: After acute optic nerve crush injury (ONC) in mice, we analyzed four parameters: lateral bundle width, axial bundle height, cross-sectional area, and the shape of individual bundles. We next correlated the morphological changes in RGC axon bundles with RGC soma loss. Results: We showed that axon bundles became wider and taller at three days post ONC (pONC), which correlated with about 15% RGC soma loss. At six days pONC, axon bundles showed a significant reduction in lateral width and cross-sectional area, followed by a reduction in bundle height at nine days pONC. Bundle shrinking at nine days pONC correlated with about 68% RGC soma loss. Both experimental and simulated results suggested that the cross-sectional area of individual RGC axon bundles is more sensitive than bundle width and height to indicate RGC soma loss. Conclusions: This study is the first to track and quantify individual RGC axon bundles in vivo after ONC injury. Translational Relevance: Recognizing RGC loss at its earliest stage is crucial for disease diagnosis and treatment. However, current clinical methods to detect the functional and structural changes in the inner retina are not sensitive enough to directly assess RGC health. In this study, we developed vis-OCTF-based parameters to track RGC damage, making possible to establishing a quantifiable biomarker for glaucoma.
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Registered trials
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.