Rapid multiplexed detection of cytokines with microfluidic chip
Bibliographic record
Abstract
We report an immunological method that integrates microfluidic chip and encoded beads to improve the accuracy and rapidity of molecules detection. The microfluidic chip for isolating individual beads in array can detect multiple cytokines simultaneously. The different kinds of encoded beads ware generated via two different polymers mixed at specific ratios. The surface of the beads was chemically modified to obtain sandwich-beads, making it capture specific cytokines. Two emission light were combined to excite encoded beads and anti-body simultaneously. Then we used CCD camera to take images. Finally, the images was analyzed by image processing algorithm to drew standard curves. We applied it to detect the concentration of IL-2, IL-10 and IL-6 cytokines in one sample simultaneously, and the results reach the level of pg/ml. The method used in this article for detecting the rare concentration of multi-cytokine raises the efficiency of immunology.
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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 | 0.000 |
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".