Evidence map›Paper›PMID 42280806›Full record

ArticleSensors (Basel, Switzerland)2026

Non-Contact IOP Estimation Based on Corneal Stress Birefringence: Experimental and Computational Validation.

Haoyuan Li, Yinda Li, Zhenhua Guo, Yong Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Haoyuan LiSchool of Science, Hebei University of Technology, Tianjin 300401, China.
Yinda LiSchool of Science, Hebei University of Technology, Tianjin 300401, China.
Zhenhua GuoSchool of Science, Hebei University of Technology, Tianjin 300401, China.
Yong ZhangSchool of Science, Hebei University of Technology, Tianjin 300401, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate intraocular pressure (IOP) assessment is essential for glaucoma diagnosis and follow-up. Conventional contact tonometry (e.g., Goldmann and rebound devices) remains widely used, but its accuracy is affected by operator dependence, alignment errors, and patient discomfort. We present a non-contact IOP estimation framework based on corneal stress birefringence and full-field fringe inversion. Ex vivo porcine corneas were imaged under controlled pressure loading from 15 to 20 mmHg, and a coupled stress-optic/shell mechanics model was used to generate pressure-indexed synthetic fringe fields for inverse fitting. In the 15-18 mmHg range, more than 75% of the estimates were within plus or minus 1 mmHg of the reference pressure; performance declined at 19-20 mmHg, consistent with a stronger nonlinear biomechanical response and reduced fringe separability. Defect experiments further showed that local stiffness loss caused both near-defect distortion and far-field stress redistribution, supporting the need for full-field rather than point-wise analysis. These results indicate that stress-birefringence imaging is a promising route toward non-contact, region-sensitive IOP assessment.

Indexed as

CorneaIntraocular PressureTonometry, OcularAnimalsBiomechanical PhenomenaBirefringenceComputer SimulationGlaucomaStress, MechanicalSwinefull-field biomechanicsintraocular pressurenon-contact measurementoptical tonometryphotoelasticityporcine corneastress birefringence

Identifiers

PMID42280806
PMCPMC13259495

What OpenQuestion holds

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Registered trials

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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.