A lab-on-CD prototype for high-speed blood separation
Bibliographic record
Abstract
Blood separation is the first step for subsequent blood tests in clinical diagnosis. Lab-on-a-chip technology provides an automatic, cost-effective and fast solution for a wide variety of blood analyses. The objective of this work is to design a new lab-on-CD microstructure capable of separating blood cells from the whole blood into different reservoirs directly. A CD platform including a microchannel network consisting of a straight main microchannel, a curved microchannel and a branching microchannel has been proposed. The merits of this design are its simple structure, less operating time and high separation efficiency because it utilizes multiple separation mechanisms, for instance, two centrifugal forces and Coriolis force. One centrifugal force is due to the system rotation; the other centrifugal force is due to the curvature of the specifically designed curved channel. In this work, systematical evaluation on the functionality and performance of such a design has been done. Ninety-nine per cent separation efficiency is achieved for diluted blood of 6% hematocrit.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".