A radial microfluidic platform for higher throughput chemotaxis studies with individual gradient control
Bibliographic record
Abstract
Chemotaxis plays a fundamental role in immune defense and cancer metastasis. Microfluidic devices are increasingly applied to studying chemotaxis, owing to their advantages of reduced reagent consumption, ability to control chemical gradients, tracking of individual cells, and quantification of chemotaxis. Many existing microfluidic chemotaxis devices suffer from limited throughput and complex operation. Here, we describe a microfluidic device with a radial channel design which allows for simultaneous chemotaxis tests of different cell types and different gradient conditions. This radial microfluidic device was capable of stand-alone stable gradient generation using passive pumping and pressure-balancing strategies. The device was validated by testing the migration of fast-migrating human neutrophils and two slower-migrating human breast cancer cell lines, MDA-MB-231 and MCF-7 cells. Furthermore, this radial microfluidic device was useful in studying the influence of the nuclear chromatin binding protein high mobility group A2 (HMGA2) on the migration of the human triple negative breast cancer cell line MDA-MB-231.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".