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Record W4411264601 · doi:10.3791/68005

An Electroporation Cytometry Protocol for Live-Cell, Fluorescence Microscopy Using U2 OS Cell Culture

2025· article· en· W4411264601 on OpenAlexaff
Thomas Nesmith, Christian Vieira, Darius G. Rackus, Gagan D. Gupta

Bibliographic record

VenueJournal of Visualized Experiments · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsUniversity of TorontoToronto Metropolitan UniversitySt. Michael's Hospital
Fundersnot available
KeywordsElectroporationFluorescence microscopeFlow cytometryCytometryLive cell imagingMicroscopyCell biologyCellCell cultureChemistryMolecular biologyFluorescenceBiologyPathologyMedicinePhysicsGeneticsBiochemistryOptics

Abstract

fetched live from OpenAlex

Pulsed electric fields (PEFs) have a wide range of applications in medical research and clinical applications. A key area of research focuses on electroporation (reversible or irreversible). Reversible electroporation has been used for several decades for transferring molecules through cell membranes such as plasmid DNA, typically referred to as gene electrotransfer (GET). Conversely, irreversible electroporation has become a popular technique in cancer treatment, providing a non-toxic alternative by permanently rupturing cells using PEFs. This can be combined with various types of drugs or reagents to enhance the effect which has become known as electrochemotherapy (ECT). However, despite the broad success in practical applications, further supporting technology and research is required to improve current techniques. To address this, an electroporation cytometry system was developed to support live-cell PEF experimentation with the ability to perform long-term fluorescence microscopy. This was in combination with a stably expressing FUCCI(CA)5 U2-OS cell line for assessing changes in the cell cycle in response to PEF exposure. In doing so, up to 30 h timelapse microscopy was achieved, providing real-time changes in cell activity based on the FUCCI(CA)5 reporter. As a result, phase-specific changes were quantifiable for downstream analysis.

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: Methods · Consensus signal: none
Teacher disagreement score0.265
Threshold uncertainty score0.626

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 head0.517
Teacher spread0.483 · 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
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

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