Design and Devlopment of a Biostretch Apparatus for Tissue Engineering
Bibliographic record
Abstract
Tissue engineering has emerged as a promising approach to repair, replace or regenerate damaged tissues using tissue constructs created in vitro. The standard procedure of the strategy to create a functional tissue is to seed cells on a 3-D biodegradable and biocompatible scaffold, to grow them under precisely controlled culture conditions provided by a bioreactor system, and to deliver the matured construct into the patient’s body to induce and direct the growth of the new and healthy tissue. \n\tIn this thesis, a novel bioreactor system is designed and developed, which can provide uniaxial cyclic stretch to the tissue patch during culture process. The biostretch apparatus employs non-contact electromagnetic force to cyclically stretch a cell-seeded three-dimensional scaffold. The non-contact driving force and the specially designed mount allow researchers to use standard Petri dishes and commercially available CO2 incubators to culture an engineered tissue patch with precisely controlled strain. The device greatly simplifies the procedure to deliver mechanical stimulation during engineering a tissue patch.\n\tSince the applied mechanical stimulus is generated by a magnetic force, the engineered tissue construct is not only affected by a mechanical force, but also exposed to a magnetic field. Thus, the effects of the time-varying magnetic field during the culture process are investigated. The flux density of the field is modeled by COMSOL, and verified by a Gaussmeter. In addition, one side effect of using electromagnets, that of a temperature increase, is also investigated. The biomedical experiment results show that neither a weak low frequency magnetic field (0.1T, 1Hz) nor an increase of 1℃ in temperature has a significant effect on the cell culture.\n \tThe performance of the designed apparatus is verified by the biomedical experiments from the aspects of cell proliferation and reorganization. Moreover, the mechanical parameters (strain distribution, strain rate, and stretch force) provided by the apparatus have also been quantitatively investigated.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".