High Throughput Core-CBCM CMOS Capacitive Sensor for Life Science Applications
Bibliographic record
Abstract
This paper presents a throughput capacitive biosensor using charge based capacitive measurement (CBCM) technique suitable for lab-on-chip (LOC) applications. The proposed biosensor consists of a 10×10 array of core-CBCM capacitive sensors with digital outputs working in current mode. Each capacitive sensor consists of a differential current mirror, a current-controlled oscillator and an up/down counter using linear feedback shift register (LFSR). By the conversion of the current response of the core-CBCM circuit to pulse frequencies and counting the number of the output pulses during a specific time interval, we can do the required integration in the digital domain instead of the analog domain and thus prevent operation in voltage mode. This approach helps to obtain a wide dynamic range more than 100fF (about 80 dB) with a controllable sensitivity about 118 pulse/fF. Based on the simulated results, the proposed sensor offers great advantages for high throughput drug screening applications.
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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 | 0.001 |
| 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".