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Record W2043609698 · doi:10.1117/12.901161

Simultaneous multi-wavelength-band optical frequency domain imaging for spectroscopic investigations

2011· article· en· W2043609698 on OpenAlexaff
Youxin Mao, Shoude Chang, E. G. Murdock, Costel Flueraru

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Typearticle
Languageen
FieldEngineering
TopicOptical Coherence Tomography Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsOpticsNarrowbandFrequency domainWavelength-division multiplexingWavelengthOptical amplifierOptical pathMultiplexingMaterials sciencePhysicsOptoelectronicsLaserComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

A novel method of simultaneous multi-wavelength-band common-path optical frequency domain imaging is proposed for spectroscopic applications. Simultaneous multi-band wavelength tuning can be performed by using multiple fiber-ring cavities with corresponding optical semiconductor amplifier as their gain mediums and narrowband optical filters with a single polygonal scanner for synchronization. A simultaneous 1310/1550 dual-band swept laser source is constructed as a proof concept prototype. Broadband 1310/1550 wavelength-division multiplexing is used for coupling two wavelengths into a common-path single-mode GRIN-lensed fiber probe to form a dual-band common-path optical frequency domain imaging. Simultaneous imaging at 1310 and 1550 nm is achieved by using a depth ratio correction method. This technique allows potential for in vivo endoscopic high-speed functional optical frequency domain imaging with high quality spectroscopic contrast with low computational costs. On the other hand, the common path configuration is able to suppress common mode noise and potentially implement high stability quantitative phase 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.231
Teacher spread0.214 · 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.

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

Citations1
Published2011
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicOptical Coherence Tomography ApplicationsFrench-language works237,207