Three‐dimensional in situ zonal morphology of viable growth plate chondrocytes: A confocal microscopy study
Bibliographic record
Abstract
Longitudinal growth, occurring in growth plates with structurally distinct zones, has clinical implications in the treatment of progressive skeletal deformities. This study documents the three-dimensional morphology of chondrocytes within histological zones of growth plate using confocal microscopy combined with fluorescent labeling techniques. Three-dimensional reconstruction of Calcein AM-labeled chondrocytes was made from stacks of confocal images recorded in situ from 4-week-old swine growth plates. Three-dimensional quantitative morphological measurements were further performed and compared at both tissue and cell levels. Chondrocyte volume and surface area increased about five- and threefold, respectively, approaching the chondro-osseous junction from the pool of reserve cells. Chondrocytes from the proliferative zone were the most discoidal cells (sphericity of 0.81 ± 0.06) among three histological zones. Minimum and maximum cell/matrix volume ratios were identified in the reserve (11.0 ± 2.2) and proliferative zones (16.8 ± 3.0), respectively. Evaluated parameters revealed the heterogeneous and zone-dependent morphological state of the growth plate. Tissue and cellular morphology may have noteworthy contribution to the growth plate behavior during growth process. The ability to obtain in situ cell morphometry and monitor the changes in the growth direction could improve our understanding of the mechanisms through which abnormal growth is triggered.
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 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".