ArticlePloS one2019
"Smart Eye Camera": An innovative technique to evaluate tear film breakup time in a murine dry eye disease model.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Development of a Deep Learning Model to Estimate Anemia from Palpebral Conjunctiva Taken with a Portable Slit-Lamp Microscope.Bioengineering (Basel, Switzerland) · 2026Article
- Devising a Coaching Method for a Smartphone-Based Slit-Lamp Microscope and Its Learning Effects: A Pilot Study.Journal of clinical medicine · 2026Article
- Smartphone-Based Portable Slit Lamp in Anterior Segment Diseases: A Narrative Review of Clinical Assessment and Integration with Artificial Intelligence.Ophthalmology and therapy · 2026Review
- Validation of an Artificial Intelligence-Based Anterior Chamber Depth Estimation Using a Smartphone-Compatible Slit Lamp Device.Ophthalmology science · 2026Article
- Prevalence of Anterior Segment Diseases on a Remote Island: A Telemedicine-Based Study Using the Smart Eye Camera.Cureus · 2025Article
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- Clinical evaluation of corneal ulcer with a portable and smartphone-attachable slit lamp device: Smart Eye Camera.Scientific reports · 2025Article
- Exploratory study on the efficacy of topical pan-JAK inhibitor in ocular and skin GVHD in a sclerodermatous GVHD mouse model.Scientific reports · 2025Article
- Evaluating the Effect of Image Enhancement on Diagnostic Reliability in Dry Eye Disease Using a Portable Imaging Device.Diagnostics (Basel, Switzerland) · 2024Article
- The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography.Bioengineering (Basel, Switzerland) · 2024Article
- Primary Angle Closure Observed During a House Visit: A Case Treated With Laser Iridotomy.Cureus · 2024Article
- A Case of Traumatic Hyphema Diagnoses by Telemedicine Between a Remote Island and the Mainland of Tokyo.Cureus · 2024Article
- Development of the AI Pipeline for Corneal Opacity Detection.Bioengineering (Basel, Switzerland) · 2024Article
- Feasibility of Tear Meniscus Height Measurements Obtained with a Smartphone-Attachable Portable Device and Agreement of the Results with Standard Slit Lamp Examination.Diagnostics (Basel, Switzerland) · 2024Article
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- AI-based diagnosis of nuclear cataract from slit-lamp videos.Scientific reports · 2023Article
- Clinical observation of tear film breakup time with a novel smartphone-attachable technology.BMC ophthalmology · 2023Article
- Artificial intelligence to estimate the tear film breakup time and diagnose dry eye disease.Scientific reports · 2023Article
- Interobserver Reliability of Tear Break-Up Time Examination Using "Smart Eye Camera" in Indonesian Remote Area.Clinical ophthalmology (Auckland, N.Z.) · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tear film breakup time (TFBUT) is an essential parameter used to diagnose dry eye disease (DED). However, a robust method for examining TFBUT in murine models has yet to be established. We invented an innovative device, namely, the "Smart Eye Camera", which addresses several problems associated with existing methods and is capable of evaluating TFBUT in a murine DED model. We compared images taken by existing devices and the Smart Eye Camera in a graft-versus-host disease-related DED murine model. We observed that the quality of the images obtained by the Smart Eye Camera were sufficient for practical use. Moreover, this new technique could be used to obtain measurements for several consecutive ocular phenotypes in a variety of environments. Here, we demonstrate the effectiveness of our new invention in the examination of ocular phenotypes, including TFBUT in a murine model. We highlight the potential for future translational studies adopting the Smart Eye Camera in clinical settings.
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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.