Photoresist‐Assisted 3D Printing for Rapid Fabricating Circular Microchannel
Bibliographic record
Abstract
Abstract While 3D printing‐based microchannel fabrication is advantageous in terms of simple and time‐saving, the rough surface of the fabricated channel limits its wide application. To address this problem, this paper introduces a photoresist‐assisted 3D printing technique for fabricating circular master molds tailored for soft microchannel fabrication. The effects of photoresist spin‐coating speeds and 3D‐printed convex microstructure sizes on surface roughness and the sizes of the fabricated microchannel are investigated. It is found that after photoresist spin‐coating, the surface roughness of the printed microstructure is reduced to 15.44 nm. The thickness of the coated photoresist film and the bottom width of the microchannel decreased with the increase in spin‐coating speed, while the channel height is the same as that of 3D‐printed microstructures. Parallel microchannels with a separation distance of 65.75 µm are fabricated. This technique is further applied for fabricating a pneumatically actuated microvalve and a straight microchannel with variable heights for real‐time detection and counting of living microalgae.
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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 | 0.001 |
| 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".