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Record W2114288035 · doi:10.1109/iembs.2009.5334594

Macroscopic fluorescent lifetime imaging in turbid media using angular filter arrays

2009· article· en· W2114288035 on OpenAlexafffund
Mohamadreza Najiminaini, Fartash Vasefi, Bożena Kamińska, Glenn H. Chapman, Jeffery J. L. Carson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsWestern UniversityLawson Health Research InstituteSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOpticsFluorophoreFluorescenceLaserImaging phantomAngular resolution (graph drawing)Collimated lightMaterials scienceFilter (signal processing)PhysicsOptoelectronicsComputer science

Abstract

fetched live from OpenAlex

We describe an optical imaging methodology applicable to the detection of a fluorescent agent below the surface of turbid media with lifetime property extraction. The method exploits the collimation detection capabilities of an angular filter array to form a projection image of a fluorophore embedded within the tissue-mimicking phantom. A femto-second pulsed laser was used to illuminate the tissue and excite the fluorophore within the medium. Fluorescent emission passing through the angular filter array was detected by an ultra fast gate intensified CCD camera. The array accepted photons with trajectories within 0.5 degree of the axis of each micro-tunnel and rejected most of the scattered fluorescent light exiting the tissue. The performance of the angular filter array did not depend on coherence or wavelength of the laser illumination. It was observed that resulted images had sub-millimeter resolution within 5 mm deep into the turbid media and can have a large field of view (approximately 2 cm x 2 cm).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.096
Threshold uncertainty score0.578

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 head0.014
GPT teacher head0.312
Teacher spread0.298 · 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.

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
Published2009
Admission routes2
Has abstractyes

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