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Record W2017394987 · doi:10.1117/12.842758

Coherent anti-Stokes Raman scattering microscopy using photonic crystal fibers

2010· article· en· W2017394987 on OpenAlexaff
Majid Naji, Sangeeta Murugkar, Kaisar R. Khan, Hanan Anis

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Typearticle
Languageen
FieldEngineering
TopicOptical Coherence Tomography Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSupercontinuumPhotonic-crystal fiberRaman scatteringMicroscopyOpticsMaterials scienceRaman spectroscopySIGNAL (programming language)Coherent anti-Stokes Raman spectroscopyPhotonic crystalOptical fiberPhotonicsPulse (music)Noise (video)OptoelectronicsPhysicsComputer science

Abstract

fetched live from OpenAlex

The performance of two different photonic crystal fibers (PCF) of identical lengths for implementation of the Stokes source in a multimodal CARS microscopy and spectroscopy setup is compared. RIN measurements are performed to experimentally determine the noise in the supercontinuum from the two fibers as well as in the CARS signal under similar excitation conditions of the input pulse into the PCF. The RIN of the CARS signal is found to be higher than the RIN of the corresponding Stokes signal, in both fibers. The implications for CARS microscopy of the SC spectrum and its noise dependence on input pulse conditions in both fibers, are discussed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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
Published2010
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