Multifocal optical coherence tomography of the mouse eye to image the vitreoretinal vasculature in full depth
Bibliographic record
Abstract
Significance: optical coherence tomography (OCT) of the mouse vitreoretinal vasculature in full depth is technically challenging. Conventional OCT techniques employ axial confocal gating, which induces signal drop-off and limits spatial resolution outside the Rayleigh range. Aim: Our aim is to develop a multifocal OCT imaging approach using a tunable lens and a registration method that allows the generation of a composite image of the vitreoretinal vasculature while preserving high and uniform lateral spatial resolution, signal intensity, and image contrast in full depth. Approach: A calibration target was developed to characterize the multifocal optical system and quantify the signal intensity, contrast, and resolution. These optical specifications were used to image mice at postnatal day 14. Intra- and inter-volume registration methods were necessary to correct for motion and generate a composite image from single-focus images using weighted averaging. Results: ). In animals, signal intensity and contrast were 10 to 15 dB higher in the composite compared with single-focus images and highest in the hyaloid vasculature. Conclusions: This technique is promising in studying the mouse vitreoretinal vasculature during eye development and disease.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".