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Record W1965152877 · doi:10.1109/memsys.2013.6474443

Rapid measurement of specific membrane capacitance and cytoplasm conductivity on single cells

2013· article· en· W1965152877 on OpenAlexaff
Yi Zheng, Ehsan Shojaei-Baghini, Chen Wang, Yu Sun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCytoplasmCapacitanceElectrical impedanceMembraneConductivityMaterials scienceMicrofluidicsElectrical resistivity and conductivityCellMembrane potentialCell membraneBiophysicsBiomedical engineeringOptoelectronicsNanotechnologyChemistryCell biologyElectrical engineeringElectrodeBiologyEngineeringBiochemistry

Abstract

fetched live from OpenAlex

This paper presents a technique for the characterization of single-cell electrical properties (specific membrane capacitance and cytoplasm conductivity) at a speed of 5-10 cells per second (vs. minutes per cell using existing techniques). When a cell flows through a microfluidic constriction channel, electrical impedance at multiple frequencies is measured. Electrical and geometrical models were developed to interpret the impedance data and determine the specific membrane capacitance and cytoplasm conductivity of individual cells. Results from testing 3,249 AML-2 cells and 3,398 HL-60 cells reveal different electrical properties between these two cell types. The results also demonstrate that the quantification of specific membrane capacitance and cytoplasm conductivity can enhance cell classification results.

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 score0.017
Threshold uncertainty score0.366

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 head0.034
GPT teacher head0.166
Teacher spread0.132 · 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
Published2013
Admission routes1
Has abstractyes

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