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Record W2114320683 · doi:10.1109/iembs.2009.5334535

Measuring the mechanical properties of cells using acoustic microscopy

2009· article· en· W2114320683 on OpenAlexaff
Eric M. Strohm, Michael C. Kolios

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAcoustic microscopyMaterials sciencePolyvinylidene fluorideAcoustic impedanceAcoustic attenuationAttenuationElastic modulusMicroscopySpeed of soundAcousticsScanning acoustic microscopeElectrical impedanceModulusComposite materialOpticsUltrasonic sensorPolymer

Abstract

fetched live from OpenAlex

Time resolved acoustic microscopy was used to investigate the mechanical properties of MCF7 breast cancer cells at 375 MHz. The thickness, speed of sound, acoustic impedance, density, bulk modulus and attenuation were calculated using the amplitude and time of the ultrasound backscatter from the cellular membrane and substrate. The technique was first validated by measuring the mechanical properties of a material with well characterized properties, polyvinylidene fluoride (PVDF). The measured values agreed very well (within 4.5%) with those provided from the manufacturer. The same properties of MCF7 cells were then measured using the same technique. The speed of sound, acoustic impedance, density and bulk modulus were found to have values slightly higher than the medium they were testing in. In this paper, a technique to non-invasively measure the mechanical properties of cells using scanning acoustic microscopy is presented.

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 score0.236
Threshold uncertainty score0.191

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 head0.027
GPT teacher head0.207
Teacher spread0.180 · 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

Citations27
Published2009
Admission routes1
Has abstractyes

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