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Record W2904836395 · doi:10.22215/etd/2016-11610

A Novel Molecular Diagnostic Device Using Solid-Phase PCR on a Hotwire Optical Fibre Grating

2016· dissertation· en· W2904836395 on OpenAlexafffund
Jason Koppert

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Biosensing Techniques and Applications
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsMaterials scienceOptical fiberFiber Bragg gratingFluorescenceGratingCoatingTotal internal reflection fluorescence microscopeOptoelectronicsOpticsNanotechnologyPhysics

Abstract

fetched live from OpenAlex

The usage of fibre optic technologies presents the possibility of high volume manufacturing at low costs when used with novel diagnostic assays. In this thesis, the technologies of hotwire fibre optic devices are combined with in-fibre Bragg gratings to produce a platform compatible with the developing field of Solid Phase PCR (SP-PCR). Here we demonstrate that the DNA coating of such devices can be performed with economical UV-cross-linking. In the process of validating the platform for SP-PCR usage we have also created a novel assay for monitoring real-time polymerase enzyme activity on solidsurface-attached DNA sequences. The device can function with SP-PCR in real-time through its usage of Total Internal Reflection Fluorescence (TIRF). Our device demonstrates the ability to spatially separate several reactions on a single fibre, representing a novel fibre application, and has the potential to reliably increase the speed and multiplexability of the SP-PCR reactions.

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 categoriesMeta-epidemiology (narrow)
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 score0.192
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.019
GPT teacher head0.373
Teacher spread0.354 · 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.

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

Citations0
Published2016
Admission routes2
Has abstractyes

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