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Record W4246298774 · doi:10.32920/ryerson.14657835

Determining the mechanical properties of apoptotic cells using time resolved acoustic microscopy

2021· preprint· en· W4246298774 on OpenAlexaff
Eric M. Strohm

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsMcMaster UniversityToronto Metropolitan University
Fundersnot available
KeywordsAcoustic microscopyAcoustic impedanceMaterials scienceAcoustic attenuationAttenuationTransducerResolution (logic)AcousticsModulusMicroscopySpeed of soundAcoustic emissionElectrical impedanceApoptosisOpticsChemistryUltrasonic sensorPhysicsComposite material

Abstract

fetched live from OpenAlex

Time resolved acoustic microscopy uses ultra-high frequencies (over 100 MHz) to image cells with a resolution up to 1⃗m. Acoustic microscopy has been used since the 1970's for biological observations, however only recently have technological advances allowed the quantification of the physical properties of cells, such as the thickness, sound velocity, acoustic impedance, density, bulk modulus and attenuation using acoustic microsopy. For the first time, the physical properties of MCF-7 cells treated with a chemotherapeutic agent to induce apoptosis were measured using a 375 MHz transducer. It was found the thickness and attenuation increased after apoptosis, while the speed of sound, acoustic impedance, density and bulk modulus were similar within measured error. Acoustic backscatter measurements showed rapid morphological variations in cells undergoing apoptosis, which correlates to optical observations. This indicates extensive activity is occuring within the cell on a time scale of seconds during apoptosis.

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)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.220
Teacher spread0.198 · 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
Published2021
Admission routes1
Has abstractyes

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