Morpho-anatomical analysis of zebrafish scale melanocytes
Bibliographic record
Abstract
The zebrafish (Danio rerio) is an excellent research model in biomedical sciences and other upcoming research areas. Despite the huge importance of an effective and high-throughput zebrafish aquaculture, little is known about morpho-anatomy of its scales and their embedded melanocytes. Here we have analysed the morpho-anatomical structure of the zebra fish scales and their melanocytes, along with their distribution, position and the variations in number and their physiological responsive states. It was found that the maximum number of melanocytes ~150-200 was present in the scales from the dorsal region of the zebrafish minimum being in the ventral region. These melanocytes had an average diameter, of 3.65±0.927 microns; corresponding to the intermediate state (neither aggregated nor dispersed) of the melanophore index. Other regions of the zebrafish, such as head, tail and ventral regions, had ~120-150, ~50-80, ~0-10 number of melanocytes in their scales respectively. Among the four regions of the zebrafish, the most uniform and intermediate state melanocytes were found in the scales of the dorsal region. Our analysis of zebrafish scales and physiological responsiveness of different region melanocytes opens new vistas for future use of these disguised type of smooth muscle cells.
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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) | 0.001 | 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".