Electrode robustness in artificial cerebrospinal fluid for dielectrophoresis-based LoC
Bibliographic record
Abstract
In this paper, we present hybrid microelectronics / microfluidic Lab-on-Chip (LoC) platform intended for implantable medical microsystems for neurotransmitter detection. In vitro experiments were achieved using artificial cerebrospinal fluid (ACSF) from Tocris Bioscience where microspheres were immersed to test the behaviour of the designed LoC. One of main features of the proposed LoC platform is its thin thickness, including micro-channels and silicon CMOS chip. The latter is integrated into the glass top-layer of the LoC measuring 0.5 mm. The size of the device is 9 mm × 5 mm. the electrode architecture is composed of 8×2×2 L-shaped electrodes in a 650 µm channel width and 4 sites for interdigitited electrodes. 32 L-shaped electrodes were connected to a electronics circuit for cells manipulation using dielectrophoresis (DEP). The described LoC achieved an efficient separation within a concentration of 50 µl of a solution of microspheres, distilled water (DW) and 500 µl of ACSF. Beyond this concentration, electrode destruction was observed.
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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 | 0.001 |
| 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".