Vortex chip incorporating an orthogonal turn for size-based isolation of circulating cells
Bibliographic record
Abstract
Abstract Label-free separation of rare cells (e.g. circulating tumor cells (CTCs)) based on their size is attractive due to its wider applicability, simpler sample preparation, faster turnaround, better efficiency and higher purity. Amongst cognate protocols for the same, vortex-trapping based techniques offer high throughput but operate at high flow velocities where the resulting hydrodynamic shear stress is likely to damage cells and compromise their viability for subsequent assays. We present here an orthogonal vortex chip which can carry out size-differentiated trapping at significantly lower (38% of previously reported) flow velocities. Fluid flowing through the chip is constrained to exit the trapping chamber at right angles to that of its entry. Such a flow configuration leads to the formation of vortex in the chamber. Above a critical flow velocity, larger particles are trapped in the vortex whereas smaller particles get ejected with the flow: we call this phenomenon the turn-effect. We have characterized the critical velocities for trapping of cells and particles of different sizes on chips with distinct entry-exit configurations. Optimal architectures for stable vortex trapping at low flow velocities are identified. We explain how shear-gradient lift, centrifugal and Dean flow drag forces contribute to the turn-effect by acting on cells which pushes them into specific vortices in a size- and velocity-dependent fashion. Finally, we demonstrate selective trapping of human breast cancer cells mixed with whole blood at low-concentration. Our findings suggest that the device shows promise for the gentle isolation of rare cells from blood.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".