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Record W2038896145 · doi:10.1109/jsen.2012.2225141

Comparison of Two CMOS Front-End Transimpedance Amplifiers for Optical Biosensors

2012· article· en· W2038896145 on OpenAlex
Abdelaziz Trabelsi, Mounir Boukadoum

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Sensors Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversité du Québec à Montréal
FundersUniversité du Québec à Montréal
KeywordsTransimpedance amplifierWidebandCMOSAmplifierOperational amplifierBandwidth (computing)Electrical engineeringElectronic engineeringShunt (medical)PhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper compares two complementary-metal-oxide semiconductor front-end transimpedance amplifiers (TIA) intended for use in optical biosensors. They are the shunt-feedback and current-mode circuits, the most widely used topologies for wideband operation. The former consists of a three-stage nested-Miller-compensated amplifier in noninverting mode with a photodiode bootstrapping and a controlled voltage gain; the latter comprises a wideband common-gate feedback current mirror coupled to a current-to-voltage conversion stage and two common-source gain stages. The post-layout simulation results show that the shunt-feedback TIA achieves a maximal gain of 112 dBΩ over a 2-MHz bandwidth, whereas the current-mode TIA has a flat gain of roughly 83 dBΩ over a 115-MHz bandwidth. The overall input rms noise of each circuit was 185 pA/√Hz and 53 nA/√Hz, respectively, with power consumptions of 0.5 and 28.6 mW. We find that the shunt-feedback TIA is a better choice for high-resolution low- to mid-frequency applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.312
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it