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Record W2047571790 · doi:10.1115/mnhmt2009-18270

Quantitative DNA Hybridization Assay on a Multiplexed Surface Microfluidic Device

2009· article· en· W2047571790 on OpenAlexafffund
Ravi Prakash, Dipankar Chugh, K.V.I.S. Kaler

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Calgary
FundersCMC Microsystems
KeywordsMicrofluidicsMultiplexingDNA–DNA hybridizationDNADielectrophoresisNanotechnologyComputer scienceComputer hardwareMaterials scienceChemistryBiochemistry

Abstract

fetched live from OpenAlex

A Dielectrophoresis (DEP) based Surface Microfluidic (SMF) device has been successfully configured to facilitate multiplexed DNA hybridization assay. In this paper, we have demonstrated the utility of a 2×2 multiplexed DEP based droplet dispensing and conveyance schemes to manipulate sub-nanoliter DNA sample droplets and facilitate high throughput applications. To quantify and study various aspects of the multiplexed DNA hybridization assay, a photo multiplier tube (PMT) was utilized to optically monitor the individual droplets. Applications of the proposed assay scheme are envisioned in generalization towards an MxN matrix which can conduct numerous biochemical assays in a parallel, automated fashion, consuming minimal quantities of chemical and biochemical reagents and providing means for reliable and low cost bio-diagnostics.

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 score0.048
Threshold uncertainty score0.697

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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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