Protocol for 3D Bioprinting a Co-culture Skin Model Using a Natural Fibrin-Based Bioink as an Infection Model
Bibliographic record
Abstract
to mimic bacterial skin disease. Bacterial survival was assessed through colony-forming unit enumeration. By incorporating bacteria, this protocol offers the potential to serve as a more representative in vivo 3D bioprinted skin infection model, providing a platform to study host-microbe interactions, immune responses, and the development of antimicrobial therapeutics. Key features • This protocol provides a detailed description of the cell culture process for both keratinocyte and fibroblast cells. • This protocol outlines step-by-step preparation of the high-viscosity fibrin bioink and chemical crosslinker. • The protocol uses an extrusion-based bioprinter, with an easy-to-follow methodology that clarifies the printing details, including the incorporation of skin cells into the bioink. • This protocol details how the bacteria are inoculated into the construct to achieve the co-infection 3D skin model.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".