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 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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".