Fluorescein Diacetate for Determination of Cell Viability in Tissue-Engineered Skin
Bibliographic record
Abstract
Assurance of the quality of cultured skin substitutes (CSSs) currently relies on representative histology and determination of surface hydration, which provide limited sampling at selected points. To evaluate uniformity of cell density on the collagen matrices before clinical use, a field assessment of cell viability is advantageous. This study aimed to develop a field measure of cell viability in CSSs in vitro using fluorescein diacetate (FdA). CSSs were stained 3 days after keratinocyte inoculation using 0.04 mg/mL FdA followed by exposure to 366 nm of ultraviolet light. CSS fluorescence quantified using Metamorph image analysis was correlated with inoculation density, 3-(4,5-dimethylthiazol-2-Yl)-2,5-diphenyltetrazolium bromide (MTT) values and histology of corresponding biopsies. CSS fluorescence correlated significantly with inoculation density (p < 0.001) and MTT values (p < 0.001) of biopsies collected immediately after FdA staining. Fluorescence at day 3 also predicted day 10 MTT values. No toxicity was detected in CSSs, and normal in vitro and in vivo histology was demonstrated after FdA exposure. In conclusion, measurement of intracellular fluorescence with FdA allows for the early, comprehensive measurement of cellular distributions and viability in engineered skin and may therefore facilitate quality assurance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".