440 EVALUATION OF FOLLICULAR GROWTH AFTER EXOGENOUS STIMULATION IN MICE USING ULTRASOUND BIOMICROSCOPY
Bibliographic record
Abstract
Real-time follicular dynamics studies have often been restricted to large animals because of the resolution of ultrasound equipment available. The recent advances in image technology, including significant gains in spatial resolution, allowed these evaluations to be performed in small rodents, which are important models to understand folliculogenesis. The aim of this study was to evaluate exogenous stimulated follicular growth in mice using a high resolution ultrasound. Female mice (n = 15) received a 5 IU i.p. injection of eCG (Vetecor®, Calier) and 48 h later a 5 IU injection of hCG (Novormon®, Schering-Plough), and were mated thereafter. In experiment 1, animals (n = 7) were anesthetized with ketamin/xilazin solution and evaluated at 3, 9, 15, 21, 27, 33, 45, and 51 h after eCG injection. The ovaries were identified with ultrasound biomicroscopy (UBM, Vevo 660®, Visual Sonics, Toronto, ON, Canada) coupled with real-time micro-visualization probe (RMV 707b), and the follicular population was measured, quantified, and classified into small follicles (=449 µm) and large follicles (=450 µm). The number of small follicles decreased (P < 0.05) from 30.44 ± 15.91 to 14.79 ± 7.23, and the number of large follicles (=450 µm) increased from 0.36 ± 0.74 to 4.21 ± 4.25. For both size classes, however, statistical differences only occurred at 45 h after eCG; that is, close to the moment of hCG injection. In experiment 2, animals (n = 8) were evaluated every 2 h beginning 4.5 h after hCG to check for ovulations. The largest follicles achieved a mean maximum size of 596.7 ± 106.0 µm, 5.8 ± 2.3 h after hCG application. In 5 animals, large follicles were observed at 2 distinct moments, 5.0 ± 1.2 h and 10.4 ± 1.0 h after hCG, respectively. Results suggest that the later stages of follicular growth in mice are only achieved a few hours before ovulation, and that ovulations induced by hCG are not synchronized. Financial suport: Fapemig, CBTC São Rafael, CNPq.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| 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".