Characterization of mechanical properties and microstructure of hydrogel scaffolds by X‑ray propagation-based imaging
Bibliographic record
Abstract
Characterization of the mechanical properties and internal microstructure of scaffold, once implanted, is imperative in tissue engineering and medicine regeneration. Notably, this has been challenging to date as various conventional characterization methods by, for example, mechanical testing (for mechanical properties) and microscope (for internal microstructure) are destructive as they require removing scaffolds from the implantation site and processing samples for characterization. Synchrotron radiation X‑ray propagation-based computed tomography (SR-PBI-CT) is feasible and promising for nondestructive monitoring of hydrogel scaffolds. With the high brightness and high coherence of synchrotron radiation source, SR-PBI imaging is able to visualize and distinguish low-density soft tissues and hydrogels with high spatial resolution and scan speed, while the feature of large imaging depth with X-ray CT ensures the reconstruction of the three-dimensional (3D) scaffold. As inspired, this study aimed to perform a study on the characterization of mechanical properties and microstructure of hydrogel scaffolds by the SR-PBI-CT imaging.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".