Investigation of impact dynamics of ionically crosslinking hydrogel droplets in mist-based 3D bioprinting systems
Bibliographic record
Abstract
3D bioprinting is a method of deposition of biomaterials and cells (bioinks) according to a computer design and has a wide range of applications, including tissue engineering and drug delivery. Among different deposition mechanisms, droplet-based bioprinting method provides a high level of versatility and control over the deposition of bioinks. However, printing ionically crosslinking hydrogels is challenging using the droplet-based printheads as the crosslinked hydrogel is too viscous. Previous studies have shown that printing in a crosslinker bath or using co-flow of crosslinker can address this issue. Our group has recently shown that introducing the crosslinker in mist form, and more importantly, removing the mist within the printhead is an excellent approach to crosslink the hydrogel droplets while printing. The dynamics of a droplet spreading after exposure to mist is an important factor in achieving high shape fidelity of printed constructs and must further be investigated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".