Development of IVF Porcine Embryos in Microwell Culture System
Bibliographic record
Abstract
We investigated the development of IVF porcine embryos incubated in microwells of Well-of-the-Well (WOW) culture dishes. In Experiment 1, 500 embryos were cultured under five different culture conditions: 10 individual embryos in microwells covered by 50 μL PZM-3 medium (50 μL WOW); 10 embryos together in a well of 50 μL PZM-3 (50 μL Well); 10 embryos in microwells covered by 20 μL PZM-3 (20 μL WOW); 10 embryos in a well of 20 μL PZM-3 (20 μL Well); and 10 embryos in a 20 μL drop of PZM-3 in traditional dishes (control). In Experiment 2, the best-performing treatment group from Experiment 1 (50 μL WOW) was further compared to control using a total of 350 embryos. There was no difference in the percentage of cleaved embryos among the groups in both experiments. In Experiment 1, the percentage of blastocysts from 50 μL WOW (42.00 ± 6.29%) was higher (p = 0.001) than in 50 μL Well (29.00 ± 4.58%), 20 μL WOW (13.00 ± 2.13%), 20 μL Well (20.00 ± 2.98%) and control (25.00 ± 5.22%). Similarly, in Experiment 2, blastocyst formation and nuclei number in the blastocysts from 50 μL WOW (37.86 ± 3.95% and 38.97 ± 1.80) were higher (p = 0.040 and p = 0.017) than in the control (28.10 ± 2.64% and 33.21 ± 1.56). The results indicate that individual culture in microwells improves the development of IVF pig embryos.
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 | 0.000 | 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".