Reconfigurable dielectrophoretic device for neurotransmitters sensing and manipulation
Bibliographic record
Abstract
In this paper we describe a new approach for cell sensing and manipulation in a Lab-on-Chip (LoC) structure through two types of reconfigurable matrices of 322 square electrodes and 14 L-shaped electrodes respectively. The area of each square electrode is 10 mum times 10 mum and its thickness is 2 mum. In each architecture two extra large area electrodes are dedicated for a capacitive sensing of selected cells concentration. The proposed cell manipulation method consists of controlling the depth of the electrical field propagation which was improved around 3 times more when activating a group of 9 electrodes instead of only one. Thus, with this approach the cell actuation depends on the number of the activated electrodes surrounding the cell. Consequently the sensitivity of cells manipulation inside the microchannel is significantly enhanced. Experimental results allowed the capacitive sensor to measure a variation of 1.06 pF upon a liquid flow.
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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".