Live demonstration: CMOS capacitive sensor array for real-time analyses of living cells
Bibliographic record
Abstract
This work concerns a compact, low-cost and reusable cell-based biosensor which can be employed as a versatile tool to transit Petri dish based experiments from the traditionally labor-intensive process to an automated and streamlined process which is significantly advantageous in different fields of biology and medicine. We demonstrate a fully integrated CMOS capacitive biosensor for tracking the growth of adherent cells and analyzing the effect of anti-cancer agents on the cells behavior. The proposed cell-based platform is composed of an array of 8×8 capacitive sensors working based on the fully differential charge-based measurement technique. The analog output voltage coming from readout interface is converted to a digital bit stream using on-chip DC-input ΣΔ modulator. A novel reconfigurable clocking scheme is proposed which allows reaching to a very high sensitivity and capacitance detection range.
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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".