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Record W3005715108 · doi:10.1109/jsen.2020.2973389

Compact Optical Probe for Time-Resolved NIRS-Imaging

2020· article· en· W3005715108 on OpenAlex

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.

Bibliographic record

VenueIEEE Sensors Journal · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsInterface (matter)OptoelectronicsPhoton countingOpticsLaserDiodeComputer scienceNear-infrared spectroscopyDiffuse optical imagingLight-emitting diodeMaterials sciencePhotonPhysics

Abstract

fetched live from OpenAlex

We present the design of a standalone optical probe integrated with a Time-Gated Single Photon Detection module and Pulsed Light Emission unit. The detection module is capable of detecting photons in specific time windows, thus enabling the measurement of very faint optical signals. The pulse repetition frequency extends up to 100 MHz with a gate-ON time range up to 35ns. The module is user-configurable via a PC interface and can be integrated in any optical setup. The pulsed light emission unit uses a 50 GHz GaAs Vertical Cavity Surface Emitting Laser diode. Experimental characterization was conducted for all the building blocks of the module to ensure its proper functioning. The module was also employed in a real-life application, heart rate monitoring by illuminating the index finger of a volunteer. The novelty of the proposed miniaturized optode lies in the development of a simplified interface for portable Brain-computer interfaces which can be effectively used in applications such as Near-Infrared Spectroscopy and functional brain imaging.

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 score0.773
Threshold uncertainty score0.644

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 head0.022
GPT teacher head0.271
Teacher spread0.249 · 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