Accurate whole‐mount bone and cartilage staining requires acid‐free conditions
Bibliographic record
Abstract
Bone and cartilage staining has provided anatomists with the ability to generate detailed descriptions of the adult and developing skeleton. Typically, Alizarin red S and Alcian blue are used for the staining of bone and cartilage, respectively. The binding of Alizarin red S and calcium is most stable at basic conditions, however, Alcian blue exhibits specific binding to polyanionic substances such as mucopolysaccharides under acidic conditions. Typical bone and cartilage staining protocols are conducted under acidic conditions. Because of this discrepancy in optimal pH, issues can arise in the staining of small specimens such as larval fish. Specifically, staining embryonic or larval specimens under acidic conditions can cause decalcification of small bones. Decalcification can completely inhibit the uptake of Alizarin red S in small bones. In order to mitigate this issue, researchers have developed an acid-free staining protocol that utilizes the concept of critical electrolyte concentration. While many researchers have adopted acid-free bone and cartilage staining, some researchers continue to stain these small specimens with acidic staining protocols. To ensure the reliability and validity of our skeletal descriptions, we urge scientists to utilize acid-free staining protocols when analyzing the skeletons of larval or embryonic specimens.
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 | 0.001 |
| 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 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".