Dynamic presbyopia correction in the macular field of view by using a liquid crystal lens
Bibliographic record
Abstract
A large aperture matrix of tunable liquid crystal lenses (MTLCL) is used for dynamic presbyopia correction. The special electrode design and driving method allow the activation of local lenses at arbitrary lateral positions of the MTLCL. First, the study of tunable wavefronts, which can be generated by such a device, is presented. Then, the image quality at different viewing angles and distances is quantified. A driving algorithm has also been developed to increase the speed of focusing. It is shown that this device may provide continuous focus tunability (from 0 to 2.5 diopters), react within 0.5 s, operate with relatively low voltages (<5 V), and enable diffraction-limited on-axis aberrations. Finally, the results of a comprehensive evaluation of its performance with human subjects are reported, comparing the visual acuity (VA) achieved by using the approach proposed in this project against the natural human VA for objects in the near field.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".