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Record W1602179250 · doi:10.1109/ccece.2015.7129182

4V microfluidic platform for biological manipulation with glycine, glutamate, GABA and acetylcholine

2015· article· en· W1602179250 on OpenAlexafffund
Jessy Mathault, Benoit Gosselin, Amine Miled

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversité Laval
FundersUniversité Laval
KeywordsNeurotransmitterAcetylcholineGlutamate receptorGlycineNeuronChemistryNeuroscienceBiophysicsBiologyBiochemistryCentral nervous systemEndocrinologyAmino acidReceptor

Abstract

fetched live from OpenAlex

This paper presents a new system dedicated for in vitro study of neuron networks to mimic neurodegenerative diseases. It is designed to modulate neurotransmitter concentration in a local area of the neuron network with dielectrophoretic manipulations. Particle motion was observed at low voltages down to 4 V peak to peak. Different concentrations of neurotransmitters close to brain concentrations were used with GABA, Glutamate, Acetylcholine and Glycine. The conductivity of manipulated liquid composed of artificial cerebrospinal fluid and neurotransmitters was 16.5 mS/cm. It was not significantly affected by neurotransmitter concentration change. The proposed system was tested with an 8 electrode array (EA) and further extended to a 320 EA in order to cover the back side of a 2.5 inches Petri dish for neuron culture.

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 score0.015
Threshold uncertainty score0.330

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 head0.140
GPT teacher head0.292
Teacher spread0.152 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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