The Influence of Laser-Induced 3-D Titania Nanofibrous Platforms on Cell Behavior
Bibliographic record
Abstract
The current challenge in tissue engineering is to design a platform that can provide appropriate topography and suitable surface chemistry to encourage desired cellular activities and to guide 3-D tissue regeneration. Compared with traditional cell culture materials, 3-D nanofibrous platforms offer a superior environment for promoting cell functions by mimicking the architecture of extracellular matrix (ECM). In this study, we present a technique to engineer freestanding 3-D titania nanofibrous structures on titanium substrates using femtosecond laser processing. The crystallinity, surface adhesion, and surface energy of the synthesized nanostructures are discussed. The effects of synthesized nanoarchitectures on the proliferation, morphology, and viability of MC3T3-E1 mouse osteoblast-like cells and NIH 3T3 mouse embryonic fibroblasts are investigated. The nanofibrous structures show high surface energy and hydrophilicity. The results from in vitro studies reveal that the titania nanofibrous architectures possess excellent biocompatibility and significantly enhances proliferation of both cell lines compared to untreated titanium specimens. Study of the cell morphology shows dynamic cell migration and attachment on the titania nanofibrous architecture. The bioactivity and biocompatibility of the engineered 3-D nanostructures suggest noticeable perspective for developing bio-functionalized scaffolds and implantable materials in regenerative medicine and clinical tissue engineering.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".