A Roll-to-Roll Mechanism for the Scalable Fabrication of Aligned Collagen Scaffolds for Load-Bearing Tissues
Bibliographic record
Abstract
Collagen is the primary structural component of the extracellular matrix and is critical to the mechanical integrity of load-bearing tissues such as tendon, bone, and blood vessels. In these tissues, collagen is often highly aligned, with fibers oriented in the direction of physiological loading. The Guenther lab previously developed a wet-spinning approach to generate ultrathin collagen sheets with physiologically relevant alignment; however, this approach is limited in the amount of sheet it can produce, posing a barrier to the fabrication of human scale constructs. In this thesis, we present a roll-to-roll manufacturing approach for the scalable production of aligned collagen sheets, achieving an order-of-magnitude increase in length and enabling the possibility of fabricating human scale tissues. To our knowledge, this is the first demonstration of roll-to-roll processing for planar, wet-spun biomaterials manufacturing. Additionally, we demonstrate the rolling of these sheets with deposited collagen hydrogel layers into heterogenous tubular structures.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".