Fabrication of Precise Cylindrical Three-Dimensional Tissue Engineering Scaffolds for In Vitro and In Vivo Bone Engineering Applications
Bibliographic record
Abstract
It is sometimes necessary to form highly porous polymeric tissue engineering scaffolds into various shapes and sizes. Ideally, in these cases, the three-dimensional morphology should be maintained to the outer margins of the scaffold so as to provide optimum function. Many biodegradable polymeric scaffolds are soft and delicate, however, and their poor physical strength presents a challenge when cutting these materials into the required shapes. We describe a simple device that can be used quickly and accurately to cut cylindrical shapes from such delicate polymeric scaffold materials, which maintain their morphological features to the margins of the shapes produced. We demonstrate that the device can be used to create scaffolds with reproducible dimensions having an SD in mass of less then 6%. The in vitro utility of scaffolds cut with the device was established through demonstrating bone marrow-derived cell invasion into fibrin-filled scaffolds that fit precisely into the wells of 24-well plates. We also demonstrate the in vivo utility of precise cylindrically shaped scaffolds by observing rapid bone invasion into 2.4-mm diameter scaffolds that have been placed into drill hole defects in the distal femur of young rats. When scaffolds are filled with fibrin before implantation as part of a bone tissue engineering strategy, less blood fills the defect site and the fibrin is gradually remodeled and replaced by bone. The ability to cut precise cylindrical scaffolds in the millimeter size range has allowed for the creation of a new small animal model that may prove useful for screening tissue engineering scaffolds for further study.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".