Controlled microfluidic switching in arbitrary time-sequences with low drag
Bibliographic record
Abstract
The ability to test the response of cells and proteins to a changing biochemical environment is of interest for studies of fundamental cell physiology and molecular interactions. In a common experimental scheme the cells or molecules of interest are attached to a surface and the composition of the surrounding fluid is changed. It is desirable to be able to switch several different biochemical reagents in any arbitrary order, and to keep the flow velocity low enough so that the cells and molecules remain attached and can be expected to retain their function. Here we develop a device with these capabilities, using U-shaped access channels. We use total-internal reflection fluorescence microscopy to characterize the time-dependent change in concentration during switching of solutions near the device surface. Well-defined fluid interfaces are formed in the immediate vicinity of the surface ensuring distinct switching events. We show that the experimental data agrees well with Taylor-Aris theory in its range of validity. In addition, we find that well-defined interfaces are achieved also in the immediate vicinity of the surface, where analytic approaches and numerical models become inaccurate. Assisted by finite-element modelling, the details of our device were designed for use with a specific artificial protein motor, but the key results are general and can be applied to a wide range of biochemical studies in which switching is important.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".