MétaCan
Menu
Back to cohort
Record W2338392371 · doi:10.17305/bjbms.2012.2497

Different effects of sonoporation on cell morphology and viability

2012· article· en· W2338392371 on OpenAlexaff
Jizhen Zhang, Jasdeep K. Saggar, Zhaoli Zhou, Bing Hu

Bibliographic record

VenueBosnian Journal of Basic Medical Sciences · 2012
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsUniversity of Toronto
FundersInstitute of Acoustics, Chinese Academy of SciencesTongji UniversityNational Natural Science Foundation of China
KeywordsCalceinSonoporationViability assayIntracellularFluorescence microscopeCellBiophysicsMedicineCell biologyChemistryFluorescenceBiologyBiochemistryMembraneMicrobubblesUltrasound

Abstract

fetched live from OpenAlex

The objective of our study was to investigate changes in cell morphology and viability after sonoporation. Sonoportion was achieved by ultrasound (21 kHz) exposure on adherent human prostate cancer DU145 cells in the cell culture dishes with the presence of microbubble contrast agents and calcein (a cell impermeant dye). We investigated changes in cell morphology immediately after sonoporation under scanning electron microscope (SEM) and changes in cell viability immediately and 6 h after sonoporation under fluorescence microscope. It was shown that various levels of intracellular calcein uptake and changes in cell morphology can be caused immediately after sonoporation: smooth cell surface, pores in the membrane and irregular cell surface. Immediately after sonoporation, both groups of cells with high levels of calcein uptake and low levels of calcein uptake were viable; 6 h after sonoporation, group of cells with low levels of calcein uptake still remained viable, while group of cells with high levels of calcein uptake died. Sonoporation induces different effects on cell morphology, intracellular calcein uptake and cell viability.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.133

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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 designObservational
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

Citations18
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBosnian Journal of Basic Medical SciencesSame topicUltrasound and Hyperthermia ApplicationsFrench-language works237,207