Submicron Polymer Flow Cells
Bibliographic record
Abstract
This paper investigates the fabrication processes of polymer micro channels integrated into flow cells. The cross sectional dimensions of these flow cell channels are in the range of microns containing structures or structure details in the submicron range. Single-component and double-component cells are presented. Single-component cells are entirely made of one polymer. They are composed of a micro structured substrate and a cover plate to hermetically seal the subjacent microfluidic structures. Flexible fluidic ports are added to facilitate interfacing. Polymethylmethacrylate (PMMA) is used as an industrially prefabricated foil (HESA®Glas VOS; HESA®Glas HESAlite). Double-component cells are made of spincoated PMMA (MicroChem 950k PMMA A11; AllResist GmbH 950k PMMA A9) that is micro structured on glass substrates prior to sealing with a cover plate. PMMA enables high resolution direct lithographic patterning of the fluidic structures. We apply Deep UV Lithography (DUV) to photochemically degrade PMMA and subsequently dissolve the degraded areas in an organic solvent. This process had previously primarily been utilized to pattern polymer waveguides. For minimum feature size devices, initial samples have been fabricated applying Deep X-Ray Lithography (DXRL) instead of DUV. Final sealing with PMMA cover plates is performed using thermal and UV bonding or solvent welding.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".