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Record W2132544664 · doi:10.1109/sensor.2007.4300399

The Effect of Biodegradable Drug Release Coatings on the Electrical Characteristics of Neural Electrodes

2007· article· en· W2132544664 on OpenAlexfundno aff
André Mercanzini, Sai T. Reddy, Marc Boers, Diana Velluto, Arnaud Bertsch, Jeffrey A. Hubbell, Philippe Renaud

Bibliographic record

VenueTRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaÉcole Polytechnique Fédérale de LausanneEuropean Commission
KeywordsMicroelectrodeMaterials scienceElectrodeBiomedical engineeringElectrical impedanceCoatingDielectric spectroscopyMultielectrode arrayPolymerNanoparticleOptoelectronicsNanotechnologyComposite materialElectrochemistryChemistryElectrical engineeringMedicine

Abstract

fetched live from OpenAlex

This study describes how drug eluting coatings affect the signal quality of implantable microelectrodes. Polyimide-Platinum neural probes were micro fabricated and coated with a biodegradable polymer loaded with drug eluting nanoparticles. Electrical impedance spectroscopy was used to study how the coating affects electrical recording and stimulation characteristics. The measurements were performed in vitro and it was found that the biodegradable film slightly modified the measured impedance phase by +3deg at 10 kHz but not the magnitude. This change in impedance is permanent but does not adversely affect the recording and stimulation characteristics of the device. This result demonstrates the compatibility of controlled release drug coatings with neural probes.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

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