A Quick Whole-Mount Staining Protocol for Bone Deposition and Resorption
Bibliographic record
Abstract
Osteoblasts and osteoclasts, two cell types important in bone development, are associated with enzymes capable of hydrolyzing phosphate groups. These enzymes are important for their function of bone deposition and resorption. Alkaline phosphatase (AP) activity is associated with the cell surface of osteoblasts, while osteoclasts secrete tartrate-resistant acid phosphatase (TRAP). Due to their shared enzymatic properties, we were able to develop a simple whole-mount staining protocol to stain for both enzymes (TRAP and AP) within the same teleostean tissue sample. In addition, we were able to perform each reaction individually. Further, AP and TRAP stains were maintained through decalcification, embedding, and sectioning procedures. Staining can also be conducted after sectioning depending on the question under investigation. These rapid staining protocols can thus be used to observe the processes involved in bone remodeling in whole teleost specimens, and/or the location of the stain can be determined through sectioning. The ability to observe bone deposition and resorption in such a capacity will significantly advance our understanding of bone remodeling throughout the life history of organisms and also within particular skeletal elements.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.012 |
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".