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Record W4413574726 · doi:10.1364/prj.565450

Dynamic-range-extended line-field interferometric profiling with high-speed in-fiber optical delay control

2025· article· en· W4413574726 on OpenAlexaff
Jaeheung Kim, Gyeong Hun Kim, Sang Min Park, Eun Seo Choi, Seung Seok Lee, Kyung Won Kim, Hyung Hoi Kim, Chang‐Seok Kim, Hwidon Lee

Bibliographic record

VenuePhotonics Research · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsOptech (Canada)
FundersKorea Evaluation Institute of Industrial TechnologyInstitute of Civil-Military Technology CooperationNational Research Foundation of Korea
KeywordsOpticsInterferometryOptical fiberDynamic rangeOptical path lengthPolarization-maintaining optical fiberFiber optic sensorProfiling (computer programming)Graded-index fiberModulation (music)Phase modulationOptical pathPhysicsComputer sciencePhase noise

Abstract

fetched live from OpenAlex

A high-speed dynamic-range-extended white light interferometry (HS-DRE-WLI) system is developed for fast, high-resolution 3D surface profiling across varying reflectance levels. The system combines high-speed fiber-stretcher-based optical path difference modulation with an asymmetric line-illumination technique to enhance imaging speed and dynamic range. Chromatic and polarization-induced distortions are minimized through dispersion compensation using optimized fiber lengths and a Faraday rotator, achieving 14.2-μm axial resolution. Validated on diverse samples, the system captures fine and large-scale features with high fidelity, demonstrating strong potential for industrial and biomedical applications requiring accurate, robust surface measurements.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.326
Teacher spread0.305 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

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