A solution to prevent secondary flow in adherent cell cultures
Bibliographic record
Abstract
cell culture format is dominated by circular topology vessels, with the inherent disadvantage of secondary flow induced each time the cell cultures are repositioned. The secondary flow generates uneven sedimentation and adherence that negatively impacts cell culture quality. Here we show a modification of the circular culture vessel that abrogates these disturbances. Cell culture wells were augmented with a central column to diminish secondary flow. Human carcinoma cell lines (BeWo, JEG-3), mesenchymal stem cells [human umbilical cord perivascular cells (HUCPVC)] and mouse embryonic fibroblasts (MEF) were cultured in both column-augmented and regular culture wells. Human carcinoma cell cultures showed even cell densities and significantly more viable cells in column-augmented vessels. In FTM HUCPVC cultures, cell surface MSC marker (CD90, CD105) expression and cell differentiation-related gene expression patterns were significantly more homogeneous in column-augmented vessels. MEF cells in column-augmented culture vessels showed a more consistent expression of IGF-1. Column-augmented cell culture vessels significantly improve the homogeneity of adherent cell cultures by mitigating the adverse effect of the secondary flow.This article has an associated First Person interview with the first author of the paper.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".