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Record W2156652532 · doi:10.1364/ol.36.004107

Label-free in vivo fiber-based optical-resolution photoacoustic microscopy

2011· article· en· W2156652532 on OpenAlexafffund
Wei Shi, Roger J. Zemp

Bibliographic record

VenueOptics Letters · 2011
Typearticle
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaTerry Fox Foundation
KeywordsOpticsMaterials scienceFiber laserLaserOptical fiberResolution (logic)FiberMicroscopyBundleYtterbiumOptoelectronicsComputer sciencePhysics

Abstract

fetched live from OpenAlex

In this Letter, the capability of label-free fiber-based optical-resolution photoacoustic microscopy is demonstrated. This real-time imaging system takes advantage of image-guide fibers and a unique fiber laser. The 800 μm image-guide consists of 30,000 individual single-mode fibers in a bundle and the diode-pumped, pulsed Ytterbium fiber laser is utilized to perform up to 600 kHz repetition rate. Phantom studies indicate 7 μm resolution. The proposed setup keeps many of the powerful properties of previous tabletop OR-PAM systems, but also offers a submillimeter probe footprint and high flexibility due to the nature of the image-guide. This system could have significant clinical impact for endoscopic applications where the thin fiber can be inserted into the body.

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)0.000
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.014
GPT teacher head0.207
Teacher spread0.194 · 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

Citations89
Published2011
Admission routes2
Has abstractyes

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