Extended ex vivo culture of fresh and cryopreserved whole sheep ovaries
Bibliographic record
Abstract
We describe an original perfusion system for the culture of whole ovine ovaries for up to 4 days. A total of 33 ovaries were divided into six groups: control (n=6), not perfused and fixed; Groups SM72 and SM72-FSH (n=6 each), perfused with a simple medium for 72h with or without FSH; Groups CM96 and CM96-FSH (n=6 each), perfused with a complex medium for 96h with or without FSH; Group CM96-FSH-cryo, (n=3) cryopreserved and perfused for 96h with Group CM96-FSH medium. Depending on the medium used, morphological parameters of cultured ovaries differed from fresh organs after 72 (SM72, SM72-FSH) or 96 (CM96, CM96-FSH) h of perfusion. Oestradiol and progesterone were secreted in all groups but FSH had an effect only on Group CM96-FSH, stimulating continued oestradiol secretion 10 times higher than in all other groups. Morphological parameters and hormone secretion of cryopreserved ovaries were not different from fresh controls. This method enables the culture of whole ovaries for up to 4 days, the time required in vivo for 0.5-mm follicles to grow to 2.2mm and then for these follicles to reach the ovulatory size of 4mm or more. It could be used as a research tool or to complement current techniques for preserving female fertility.
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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 | 0.000 |
| 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) | 0.002 | 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".