Quantitation of Hemodynamic Function during Developmental Vascular Regression in the Mouse Eye
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Ultrasound biomicroscopy (UBM) utilizes frequencies higher than conventional diagnostic ultrasound and can noninvasively provide anatomic and functional information about mouse ocular structures in vivo at high resolution. Vascular development can also be assessed with high-frequency Doppler imaging, which permits detection and characterization of ocular blood flow not detectable at lower, conventional Doppler frequencies. METHODS: The eyes of CD-1 mice were examined daily from the day of birth to postnatal day (P)16. Hyaloid vascular system anatomy was imaged with UBM and microcomputed tomography (microCT). Blood flow velocity was also measured with Doppler UBM imaging in the hyaloid artery, vasa hyaloidea propria, tunica vasculosa lentis, and retina. RESULTS: In the mouse, the hyaloid vasculature degenerated from a well-defined structure at birth by progressive loss of branches. Hyaloid regression coincided with a progressive decrease in blood velocity detected in the hyaloid vascular structures, which is thought to be one of the major triggering factors of the regression in these vessels. At P13, no further blood flow was detected in the CD-1 mouse hyaloid vasculature. An inverse relationship was also shown between peak blood velocity in the lens and retina. CONCLUSIONS: UBM imaging provides a valuable means of rapidly and noninvasively characterizing ocular development in vivo. MicroCT scans have also provided intralumenal images of hyaloid vascular structure. This is the first study of vascular structure and function during the dynamic process of hyaloid vascular regression during mouse neonatal eye development and the first three-dimensional images of the complex hyaloid vascular structure.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it