Microfluidic control of adipose-derived stem cell growth and positioning
Bibliographic record
Abstract
Microfluidic devices provide powerful new tools for quantitative stem cell research owing to its advantages in cellular microenvironmental control and experiment throughput over conventional methods. Particularly, microfluidics is playing a growing role in studying stem cell growth, differentiation and trafficking mediated by chemical factors such as different growth and differentiation factors and physical parameters such as direct current electric fields (dcEF). In the present study, we focused on adipose-derived stem cells (ADSCs) and we quantitatively characterized ADSCs growth and positioning mediated by epidermal growth factor (EGF) and dcEF using microfluidic devices. Our results revealed mat ADSCs preferentially grow toward the EGF gradient. In addition, we showed that ADSCs tend to orient perpendicularly to the dcEF. These microfluidics-based results demonstrated the interesting roles of EGF and dcEF in controlling ADSCs growth and trafficking.
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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) | 0.000 | 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 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".