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Record W1996289016 · doi:10.1117/12.543668

Development of a biosensor based on a prism coupler method

2004· article· en· W1996289016 on OpenAlexaff
Stephen Couvignou, Luc Trudel, Roger A. Lessard, Louise Brisson

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBacteriaMicroorganismBiosensorAgarSubstrate (aquarium)PrismEscherichia coliMaterials scienceAgar plateMicrobiologyNanotechnologyChemistryBiologyOpticsPhysicsBiochemistry

Abstract

fetched live from OpenAlex

Agar is a complex mixture of polysaccharides. It is widely used in microbiology as a jellifying agent to obtain solid culture medium that can then support the growth of bacteria, yeasts and other microorganisms. Although this substrate has a daily use in biology and microbiology, its physico-chemical properties are still not well known. Consequently, a characterisation of a solid bacteriological medium infected or not by Escherichia coli type bacteria can be realized on thin films obtained by spin coating. The present study using a prism coupler method gives a sensitive tool to detect photo-physical change in the medium. This method could allow us to detect the presence of bacteria. Results obtained are reproducible on different samples and might be qualitatively compared with conventional imagery. This method should enable a rapid detection of the growing of bacteria on the studied medium.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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
GenreMethods

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

Citations0
Published2004
Admission routes1
Has abstractyes

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