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Record W2071929070 · doi:10.1039/b300995e

A two bead immunoassay in a micro fluidic device using a flat laser intensity profile for illumination

2003· article· en· W2071929070 on OpenAlexaff
Pieter K. Roos, Cameron D. Skinner

Bibliographic record

VenueThe Analyst · 2003
Typearticle
Languageen
FieldEngineering
TopicBiosensors and Analytical Detection
Canadian institutionsCollège de Maisonneuve
Fundersnot available
KeywordsFluidicsBeadImmunoassayLaserIntensity (physics)Materials scienceChromatographyOpticsChemistryAnalytical Chemistry (journal)PhysicsComposite materialAntibodyEngineering

Abstract

fetched live from OpenAlex

Recently it was demonstrated that a collimated Gaussian beam can be converted to a flattop beam using a Keplerian beam reshaper consisting of two aspheric lenses. Here, using the same optical system, we demonstrate that this flattop profile can be maintained when used in a confocal detection system that focuses the laser beam into a diameter of only 33 microm. The intensity profile of the reshaped beam was determined by imaging the excitation of a constant stream of fluorescein inside a microfluidic device. The resulting shape had a 6.38% RSD intensity across the flat profile when imaged with a CCD camera. This flat illumination profile was then used in a two bead multiplex immunoassay where the colour combination and/or the intensities can be used to determine the presence of an antigen. Detection limits of TNF-alpha and IL-6 were comparable with standard ELISA immunoassays.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.001
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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

Citations17
Published2003
Admission routes1
Has abstractyes

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