ArticleBiomedical optics express2026
Two-lens telecentric model eyes for image distortion measurement in adaptive optics ophthalmoscopes.
Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Reflective broadband adaptive optics scanning light ophthalmoscope with 20 D focus range.Biomedical optics express · 2026Article
- Automated montaging and contrast stretching of adaptive optics ophthalmoscope images.Biomedical optics express · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Here we present the design of telecentric model eyes for measuring image distortion in adaptive optics ophthalmoscopes, using pairs of achromatic or near-achromatic commercial off-the-shelf (COTS) and/or custom doublet lenses. The proposed model eyes can operate over visible or visible plus near infrared wavelength ranges, across a 15-diopter focus range, with an 8 mm entrance pupil diameter. COTS lens selection was implemented as a systematic evaluation of catalog lenses after optimization of axial distances. Custom lens optimization was initially guided by wavefront aberration constraints derived from object-shift 3
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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.