Rapid aqueous photo‐polymerization route to polymer and polymer‐composite hydrogel 3D inverted colloidal crystal scaffolds
Bibliographic record
Abstract
Successful regeneration of biological tissues in vitro requires the utilization of three-dimensional (3D) scaffolds that provide a near natural microenvironment for progenitor cells to grow, interact, replicate, and differentiate to form target tissues. In this work, a rapid aqueous photo-polymerization route was developed toward the fabrication of a variety of polymer hydrogel 3D inverted colloidal crystal (ICC) scaffolds having different physical and chemical properties. To demonstrate the versatility of this technique, a variety of polymer hydrogel ICC scaffolds were prepared, including (1) polyacrylamide (pAAM) scaffolds, (2) poly(2-hydroxyethyl methacrylate) (pHEMA) scaffolds, (3) poly(2-hydroxyethyl acrylate) (pHEA) scaffolds, and composite scaffolds including (4) pAAM-pHEMA scaffolds, (5) pHEMA-pMAETAC [poly(2-methacryloyloxy) trimethyl ammonium] scaffolds, and (6) pHEA-pMEATAC scaffolds. Templates for scaffolds incorporated both uniform sized (104 microm diameter) and nonuniform sized (100 +/- 20 microm diameter) closely packed noncrosslinked poly(methyl methacrylate) beads. Human bone marrow stromal HS-5 cells were cultured on the six different types of scaffolds to demonstrate biocompatibility. Experimental results show that cells can remain viable in these scaffolds for at least 5 weeks. Of the six scaffolds, maximal cell adhesion and proliferation are obtained on the positively charged composite hydrogel pHEMA-pMEATAC and pHEA-pMAETAC scaffolds.
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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 | 0.000 |
| 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".