ArticleScientific reports2017
In Vivo Photoacoustic Imaging of Anterior Ocular Vasculature: A Random Sample Consensus Approach.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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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.
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Who cites it
49 citing papers in PubMed, 102 citations in OpenAlex.
- Electrically switchable dual-focus metalens for depth-extended in vivo photoacoustic imaging of ophthalmic vascular disease.Light, science & applications · 2026Article
- Multimodal retinal imaging evaluation of macular degeneration persistent disease activity animal model in Watanabe heritable hyperlipidemic rabbits.Experimental eye research · 2025Article
- Molecular and cellular imaging of the eye.Biomedical optics express · 2024Review
- Advanced nanomaterials for imaging of eye diseases.ADMET & DMPK · 2024Review
- Large-field-of-view optical-resolution optoacoustic microscopy using a stationary silicon-photonics acoustic detector.Journal of biomedical optics · 2024Article
- Multimodal photoacoustic microscopy, optical coherence tomography, and fluorescence imaging of USH2A knockout rabbits.Scientific reports · 2023Article
- 3D imaging of aqueous veins and surrounding sclera using a dual-wavelength photoacoustic microscopy.Biomedical optics express · 2023Article
- Functional photoacoustic imaging: from nano- and micro- to macro-scale.Nano convergence · 2023Review
- Designing Covalent Organic Framework-Based Light-Driven Microswimmers toward Therapeutic Applications.Advanced materials (Deerfield Beach, Fla.) · 2023Article
- Multimodal imaging of laser-induced choroidal neovascularization in pigmented rabbits.Scientific reports · 2023Article
- Simultaneous dual-modal photoacoustic and harmonic ultrasound microscopy with an optimized acoustic combiner.Biomedical optics express · 2023Article
- Mapping the architecture of the temporal artery with photoacoustic imaging for diagnosing giant cell arteritis.Photoacoustics · 2022Article
- Whole-Body Photoacoustic Imaging Techniques for Preclinical Small Animal Studies.Sensors (Basel, Switzerland) · 2022Review
- High-speed optical resolution photoacoustic microscopy with MEMS scanner using a novel and simple distortion correction method.Scientific reports · 2022Article
- Performance comparison of high-speed photoacoustic microscopy: opto-ultrasound combiner versus ring-shaped ultrasound transducer.Biomedical engineering letters · 2022Article
- Photoacoustic imaging of 3D-printed vascular networks.Biofabrication · 2022Article
- Copper-Catalyzed Covalent Dimerization of Near-Infrared Fluorescent Cyanine Dyes: Synergistic Enhancement of Photoacoustic Signals for Molecular Imaging of Tumors.Analysis & sensing · 2022Article
- High-speed photoacoustic microscopy: A review dedicated on light sources.Photoacoustics · 2021Article
- High-resolution photoacoustic/ultrasound imaging of the porcine stomach wall: anBiomedical optics express · 2021Article
- Ultra-widefield photoacoustic microscopy with a dual-channel slider-crank laser-scanning apparatus forPhotoacoustics · 2021Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Visualizing ocular vasculature is important in clinical ophthalmology because ocular circulation abnormalities are early signs of ocular diseases. Photoacoustic microscopy (PAM) images the ocular vasculature without using exogenous contrast agents, avoiding associated side effects. Moreover, 3D PAM images can be useful in understanding vessel-related eye disease. However, the complex structure of the multi-layered vessels still present challenges in evaluating ocular vasculature. In this study, we demonstrate a new method to evaluate blood circulation in the eye by combining in vivo PAM imaging and an ocular surface estimation method based on a machine learning algorithm: a random sample consensus algorithm. By using the developed estimation method, we were able to visualize the PA ocular vascular image intuitively and demonstrate layer-by-layer analysis of injured ocular vasculature. We believe that our method can provide more accurate evaluations of the eye circulation in ophthalmic applications.
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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.