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Record W2015126537 · doi:10.1117/12.2077300

A tunable MOPA for optical resolution photoacoustic microscopy

2015· article· en· W2015126537 on OpenAlexaff
Mohammad Sultan Mahmud, Alex Forbrich, Peng Shao, Wei Shi, Roger J. Zemp

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Typearticle
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceLithium niobateOpticsLaserWavelengthOptoelectronicsResolution (logic)AmplifierPhysics

Abstract

fetched live from OpenAlex

We demonstrate the first time a widely tunable MOPA (Master Oscillator Power Amplifier) laser system for Optical resolution photoacoustic microscopy (OR-PAM). This unique laser is capable of tuning the repetition rate (0.1- 120MHz), the wavelength (1030-1080nm), the pulse-width (100ps-5ns) and power (up to 1.1W). It is also capable of programmable dithering and synchronization with other laser systems to within ~ps jitter. To apply it to OR-PAM we take advantage of frequency doubling to convert IR light into green light. For doubling, a periodically poled magnesium doped lithium niobate (MgO:LiNbO3) crystal was chosen. Wavelength tuning was accomplished by tuning the output wavelength of the MOPA then tuning the temperature of the (MgO:LiNbO3) crystal to generate tunable visible light. Characterization of the system performance revealed a lateral resolution of ~7μm and a SNR of ~21dB when imaging 7μm carbon fibers.

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 score0.005

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 integrity0.0000.001
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 head0.234
Teacher spread0.220 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPhotoacoustic and Ultrasonic ImagingFrench-language works237,207