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Record W2171229172 · doi:10.1109/antem.2014.6887659

Dielectrophoresis study of electroporation effects on Chinese hamster ovary cells

2014· article· en· W2171229172 on OpenAlexaff
Elham Salimi, Katrin Braasch, Michael Butler, D. J. Thomson, Greg E. Bridges

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDielectrophoresisElectroporationChinese hamster ovary cellCytoplasmMaterials scienceMembraneConductivityCellBiophysicsCell biologyChemistryCell cultureNanotechnologyBiologyBiochemistryGenetics

Abstract

fetched live from OpenAlex

Electroporation affects the dielectric properties of cells by creating pores in their membrane which allow transport of ions. Dielectrophoresis (DEP) is a powerful technique to investigate electroporation of single biological cells. Here we study the frequency dependent response of Chinese hamster ovary (CHO) cells and investigate the effect of different cell parameters on the DEP spectra. The results suggest low frequency DEP application (less than 200 kHz) for investigating the cell membrane conductivity, mid frequency DEP application (1-30 MH) for investigating the cell cytoplasm conductivity, and high frequency DEP application (greater than 100 MHz) for investigating cell cytoplasm permittivity.

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 score0.013
Threshold uncertainty score0.371

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 head0.005
GPT teacher head0.264
Teacher spread0.259 · 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
Published2014
Admission routes1
Has abstractyes

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