Out-of-plane valve for blood separation and metering: towards lab-in-a-tube applications for blood diagnostics
Bibliographic record
Abstract
Diagnostics plays a critical role in human health, while blood analysis is one of the most common clinical diagnoses. Biomedical engineers have been developing technologies that can robotically perform accurate and rapid blood analysis for field application. The simplified fabrication processes and low cost materials become the tendency of point-of-care (POC) devices for blood analysis. Recently, lab-in-a-tube technique comes up as a simple and robust method for POC measurements of multiple analytes. This paper proposed a tubing system with out-of-plane valves using tygon tubing assembled on a circular disc (CD) for blood separation. Pure plasma could be achieved within minutes after extracting blood from human body. The out-of-plane valve showed excellent capability in preventing backflow and reverse mixing due to diffusion. Therefore, the lab-in-a-tube platform has promising applications for the automation of POC analysis, especially important for the rural areas without enough medical resources.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".