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Record W2583667051 · doi:10.1109/icecs.2016.7841134

Towards chip scale components for optical coherence tomography

2016· article· en· W2583667051 on OpenAlexaff
Frédéric Nabki, Michaël Ménard, Jonathan Brière, Mohannad Y. Elsayed, Mohamed Rahim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Coherence Tomography Applications
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
Fundersnot available
KeywordsMicroelectromechanical systemsMiniaturizationOptical coherence tomographyActuatorElectronic engineeringComputer scienceOptical filterFabricationOptical switchMaterials scienceOpticsEngineeringOptoelectronicsPhysicsNanotechnologyArtificial intelligence

Abstract

fetched live from OpenAlex

Recent work to create components for the miniaturization of optical coherence tomography (OCT) systems is presented. The proposed approach relies on the micro-fabrication of microelectromechanical systems (MEMS) electrostatic actuators with integrated optical components onto the same die. This can enable very compact and cost effective components that have the potential of reducing the cost and form-factor of OCT systems. In this paper, the progress on two integrated OCT subsystems is presented: a continuously-variable optical delay line and a wavelength-swept filter. These components are suitable to implement time-domain or frequency-domain OCT, respectively. The integrated rapidly tunable optical delay line is based on a laterally rotating MEMS micro-mirror, while the swept filter is based on a rotating MEMS micro-motor.

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.

How this classification was reachedexpand

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 score0.531
Threshold uncertainty score0.442

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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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