Efficient targeted cancer cell detection, isolation and enumeration using immuno-nano/hybrid magnetic microgels
Bibliographic record
Abstract
) nanorods with controlled morphology are synthesized using hydrolysis method. The effects of the different synthesis conditions on morphology, phase composition, and magnetic properties of lepidocrocite are studied to determine the best synthesis conditions. We coat the nanorods with chitosan and attach them to the poly(N-isopropylacrylamide-co-acrylic acid) (PNIPAM-AA) microgel through chemical bonding to form a nano/hybrid microstructure. Our results suggest that the hybrid magnetic microgels have more antibody binding capacity and higher cancer cell capturing rate compared to pristine maghemite nanorods. In addition, new cell magnetometery method was applied for cancer cell quantification after capturing step in which different magnetized labelled cells were correlated to the saturation magnetization. In this method, higher concentrations of the primary cell suspension resulted in more binding of the magnetic immuno-microgels to the cells which was shown as saturation magnetization drop in the microgel-cell complex.
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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".