3D necroprinting: Leveraging biotic material as the nozzle for 3D printing
Bibliographic record
Abstract
Nature has long inspired engineering innovations. Recent advances in biohybrid research have taken this inspiration further by directly integrating biotic materials into engineered systems. Here we report "3D necroprinting," a biohybrid manufacturing technique that repurposes female mosquito proboscides as high-resolution 3D printing nozzles. The mosquito proboscis, with its unique geometry, structure, and mechanics, enables printed line widths as fine as 20 μm, surpassing commercially available 36-gauge dispense tips by ~100%. The mosquito proboscis dispense tip can withstand internal pressures of approximately 60 kPa, enabling effective fluid extrusion. Demonstrated applications include high-resolution printing of complex structures such as a honeycomb structure, a maple leaf, and bioscaffolds encapsulating cancer cells and red blood cells, showcasing the versatility and capacity of 3D necroprinting. By introducing biotic materials as viable substitutes to complex engineered components, this work paves the way for sustainable and innovative solutions in advanced manufacturing and microengineering.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".