A dual-mode, low-power and low-noise 0.18µm CMOS front-end for optical biosensors
Bibliographic record
Abstract
A dual-mode, low-power and low-noise front-end transimpedance amplifier (TIA), intended for use in optical biosensors, is presented. It consists of a three-stage nested-Miller-compensated (NMC) amplifier in a non-inverting mode with a photodiode (PD) bootstrapping and a controlled voltage gain (CVG). The PD front-end can handle properly waveforms with soft and sharp edge transitions. In the former case, it reduces the voltage gain at DC while preserving a high gain in the frequency range of interest; in the latter, it provides a constant voltage gain over the whole TIA bandwidth. The simulation results show that a maximal gain of about 112 dBΩ can be achieved over a 2 MHz bandwidth. The empirical results obtained with a prototype mounted on PCB for blood glucose monitoring are closely correlated with those obtained using a commercial glucose/lactate analyzer.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".