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Record W2000314070 · doi:10.1109/i2mtc.2013.6555448

Microfluidic device for simultaneous pulsed electric field electroporation and dielectrophoresis studies of single biological cells

2013· article· en· W2000314070 on OpenAlexaff
Elham Salimi, Marija Nikolic‐Jaric, Tim Cabel, Katrin Braasch, Vincent Jung, 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
KeywordsElectroporationDielectrophoresisMicrofluidicsMicrosecondChinese hamster ovary cellMaterials scienceSingle-cell analysisElectric fieldBiomedical engineeringOptoelectronicsNanotechnologyCellChemistryOpticsCell cultureBiologyPhysicsEngineering

Abstract

fetched live from OpenAlex

We present a microfluidic device able to electroporate and measure the resultant changes in dielectric properties of single biological cells. The device can measure the dielectrophoresis (DEP) response of the electroporated cell from a few seconds after exposure to electroporating pulses. Studying electroporation at the single cell level can provide insight on the electroporation process as well as a method of differentiating cellular state (e.g. normal and cancerous). Moreover, combining electroporation and dielectric characterization into a single device eliminates the need for post-sample analysis as required in techniques such as fluorescence cytometry. Experiments performed on Chinese hamster ovary (CHO) cells demonstrate the ability of the device to detect changes in the DEP response of individual cells immediately after being exposed to microsecond duration electroporating pulses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.306
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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