Objective Measurement of Optical Aberrations in Myopic Eyes
Bibliographic record
Abstract
PURPOSE: To determine whether the degree of myopia affects the optical quality of the retinal image after appropriate correction, monochromatic aberrations of the human eye were measured as a function of the degree of myopia. METHODS: Using a modified Hartmann-Shack method, a population of 27 myopic (up to -9.25 D) and 7 emmetropic optometry students (18-32 years) were objectively evaluated before and after pupil dilation. We then identified for each subject the most influential aberration types, and we calculated the profile of wavefront aberration. To study the behavior of aberration as a function of the degree of myopia, we determined the maximum value of aberration as well as the root mean square (rms) value. RESULTS: It turned out that aberration increases with the refractive error in a quasi-linear relationship for pupil diameters of 5 and 9 mm. This result is valid for both rms and maximum values. CONCLUSIONS: We objectively showed that optical quality decreases as myopia increases and as the pupil gets larger. Coma is more frequent in high myopia, and spherical aberration occurs more frequently for dilated pupils.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".