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Record W1963665381 · doi:10.1364/oe.19.020097

Real-time handheld optical-resolution photoacoustic microscopy

2011· article· en· W1963665381 on OpenAlex
Parsin Haji Reza, Wei Shi, Roger J. Zemp

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOptics Express · 2011
Typearticle
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOpticsMaterials scienceLens (geology)MicroscopeResolution (logic)MicroscopyFootprintImage resolutionImaging phantomPixelComputer sciencePhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper a new generation of optical-resolution photoacoustic microscopy (OR-PAM) with a wide range of potential clinical applications is demonstrated. Using fast scanning mirrors, an image guide with 30,000 fiber pixels, a refocusing lens and a unique probe we managed to reduce the footprint of an OR-PAM system from a stationary table-top system to a portable, 4 cm by 6 cm, probe weighing ~500 g tethered to a scanning unit. The phantom studies show that the handheld optical-resolution photoacoustic microscope is able to image with ~7 μm resolution. For in vivo studies images of the microvasculature in a Swiss Webster mouse ear are shown. The compact, flexible nature of the proposed design and the small footprint of the apparatus increase the usability of OR-PAM for potential clinical applications such as in dermatology.

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.

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 score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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