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Record W2034688000 · doi:10.1117/12.839593

Optical modeling of a line-scan optical coherence tomography system for high-speed three-dimensional endoscopic imaging

2009· article· en· W2034688000 on OpenAlexaff
Mohammad Mostafa Kamal, N.R. Sivakumar, Muthukumaran Packirisamy

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicOptical Coherence Tomography Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsOpticsOptical coherence tomographyTransverse planeScannerLens (geology)Rotation (mathematics)Distortion (music)PhysicsImage qualityOptical axisMirror imageLine (geometry)Computer scienceImage (mathematics)Computer visionOptoelectronics

Abstract

fetched live from OpenAlex

The optical and analytical modeling of a line-scan optical coherence tomography (LS-OCT) system for high-speed three-dimensional (3D) endoscopic imaging is reported. To avoid complex lens system and image distortion error, an off-axis cylindrical mirror is used for focusing the line illumination on the sample surface and a micro mirror scanner is integrated with the proposed configuration for transverse scanning. The beams are swept on the cylindrical mirror by the micro mirror rotation and finally focused on the sample surface for transverse scanning. A 2mm by 3.2mm en-face scanning is configured with a 2mm focused line and ±3° scanning mirror rotation. The proposed configuration also has the capability of dynamic focusing by the movement of the cylindrical mirror without changing the transverse resolution. The cylindrical mirror enhances the image quality by reducing the aberration. The system is capable of real-time 3D imaging with 5μm and 10 μm axial and transverse resolutions, respectively.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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 head0.012
GPT teacher head0.225
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 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

Citations5
Published2009
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