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Record W2058983615 · doi:10.1063/1.2828717

Temperature measurement in microfluidic chips using photobleaching of a fluorescent thin film

2008· article· en· W2058983615 on OpenAlexaff
Lin Gui, Carolyn L. Ren

Bibliographic record

VenueApplied Physics Letters · 2008
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolydimethylsiloxanePhotobleachingMicrofluidicsMaterials scienceFluorescenceFluorescence recovery after photobleachingThin filmPolymerRhodamine BRhodamineAbsorption (acoustics)DiffusionLab-on-a-chipTemperature measurementOptoelectronicsMicrochannelMicrofluidic chipNanotechnologyAnalytical Chemistry (journal)OpticsChemistryComposite materialChromatography

Abstract

fetched live from OpenAlex

A method for the whole chip temperature measurement is developed and presented here. This method includes two major contributions: (i) a specially developed measurement model illustrating the relationship between the photobleaching speed of a fluorescent dye and its temperature and (ii) an introduction of a thin polydimethylsiloxane film with rhodamine B homogeneously saturated aiming for significantly reducing fluorescent dyes’ absorption to and diffusion into polymer-made channel walls. The developed method is validated by comparing the experimentally measured temperature distribution in a microfluidic chip with the numerically predicted results.

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 score0.026
Threshold uncertainty score0.990

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 head0.016
GPT teacher head0.190
Teacher spread0.174 · 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

Citations33
Published2008
Admission routes1
Has abstractyes

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