CNT-embedded electro-microchannel for cell electroporation
Bibliographic record
Abstract
We present a new approach for electroporating cells through a CNT-featured microfluidic device. Micro-devices have become a promising approach for cell manipulation systems. Among cell manipulations techniques, cell electroporation requires relatively higher power to disrupt membrane of cells. This requirement opposes integration of cell electroporation with other on-chip functions to achieve a full-functional point-of-care testing machine. Here we present a new approach for electroporating cells with a microfluidic chip featured by CNT on one electrode. A new methodology for embedding aligned CNT on microchannel has been presented. In the CNT-embedded device, CHO cells are passed through a forest of aligned CNTs so that the enhanced electric field near the tip of CNTs get the cells electroporated. Calcein AM dye has been used to indicate electroporation. The results show that with an operational voltage as low as 3 V CHO cells are electroporated while the yield rate of electroporation is 72% higher compared to a no-CNT device. This achievement is considerable progress toward integration of cell electroporation with other low-voltage on-chip mechanisms.
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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 | 0.000 | 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) | 0.001 | 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 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".