Microscopic Description of Mus Musculus Kidney Preparation Deparafinized with Olive Oil in Eosin (HE) Hematoxylin (HE) Staining
Bibliographic record
Abstract
Deparaffinization is a stage before the staining process to remove/dissolve paraffin so that the absorption of color in tissue preparations is maximized. Deparaffinization is usually carried out using xylol and toluol. Xylol has toxic effects including acute neurotoxicity, heart and kidney damage, hepatotoxicity, fatal blood dyscrasias, skin erythema, dry skin, peeling skin, and also has a carcinogenic effect. The toxicity effect of olive oil is lower than that of xylol. Oils that have non-polar properties can remove the remaining paraffin contained in the tissue. The purpose of this study was to determine the microscopic appearance of the kidney tissue preparations of mice deparaffinized with olive oil on hematoxylin eosin (HE) staining. The type of research used is experimental research which is analyzed with a descriptive approach. The results of the assessment of preparations deparaffinized with xylol in 80 visual fields obtained 100% good preparations and preparations deparaffinized with olive oil in 80 visual fields obtained 0% poor preparations, 11.3% poor preparations, and 88.7% good preparation. So it can be said that better results are found in the microscopic picture of the kidney preparations of mice (Mus musculus) deparaffinized with xylol.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".