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Record W3135834882 · doi:10.1117/12.2578036

Dual-modality photoacoustic remote sensing (PARS) microscopy and swept-source optical coherence tomography (SS-OCT) for in-vivo imaging

2021· article· en· W3135834882 on OpenAlexaff
Zohreh Hosseinaee, Nima Abbasi, Layla Khalil, Kevan Bell, Parsin Haji Reza

Bibliographic record

VenuePhotons Plus Ultrasound: Imaging and Sensing 2021 · 2021
Typearticle
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsOptical coherence tomographyMaterials scienceOpticsPhotoacoustic imaging in biomedicinePreclinical imagingMicroscopyLaserIn vivoBiomedical engineeringPhysicsMedicine

Abstract

fetched live from OpenAlex

A dual-modal optical imaging system combining photoacoustic remote sensing (PARS) and swept-source optical coherence tomography (SS-OCT) is presented. The PARS subsystem utilized a pulsed excitation beam at 532 nm confocal with a low-coherence interrogation beam centered at 830 nm to detect photoacoustic signals. The OCT subsystem employs a 1060 nm VCSEL swept source with a 60 kHz A-scan rate and 8 μm axial resolution in tissue. Volumetric images were acquired from carbon fibers and in-vivo biological tissues. To our knowledge, this is the first study demonstrating a combination of SS-OCT with optical-resolution photoacoustic microscopy for in-vivo, non-contact imaging of tissues.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

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