Thermal expansion of substrate may affect adhesion of Chinese hamster fibroblasts to surfaces during freezing
Bibliographic record
Abstract
Despite success in cryopreservation of cells in suspension, cryopreservation of cells in monolayers is still challenging. One of the major problems is detachment of the cells from the substrate which occurs during cryopreservation. We hypothesized that this detachment may be due to a mismatch in the coefficient of linear thermal expansion α L between glass and the frozen cell layer which manifests as residual stress and stress relaxation. This mismatch results in a difference between the thermal expansion of ice and glass as they undergo temperature changes. Rinzl plastic coverslips were selected as a possible substitute for glass because Rinzl has an α L (60 × 10 −6 /K) similar to that of ice (51 × 10 −6 /K) whereas glass has a much lower α L (5 × 10 −6 /K). V79-4 Chinese hamster fibroblasts were cultured on both glass and Rinzl coverslips until confluent and the area of coverage was measured before and after freezing at −9 °C. The glass coverslips showed significant loss of cells (coverage = 77.9 ± 8.0%) compared with Rinzl (coverage = 97.9 ± 1.4%). We concluded that Rinzl coverslips may improve cell attachment in future monolayer cryopreservation experiments.
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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".