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Record W4412864548 · doi:10.1088/1361-6501/adf65a

Viscoelastic recovery times of chondrocytes measured using a novel 3D-printed microfluidic device

2025· article· en· W4412864548 on OpenAlexaff
Michael Neubauer, Priyanka Brahmachary, Ronald K. June, Stephan Warnat

Bibliographic record

VenueMeasurement Science and Technology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsNSCAD UniversityDalhousie University
FundersNational Institutes of HealthNational Science Foundation
KeywordsViscoelasticityMaterials scienceStrain (injury)MicrofluidicsBiomedical engineeringMicroscopyDeformation (meteorology)MicroscopeChondrocyteConfocalInverted microscopeCartilageComposite materialNanotechnologyOpticsAnatomy

Abstract

fetched live from OpenAlex

This paper presents the development, production, and application of a 3D-printed microfluidic device designed to measure the viscoelastic recovery time of cartilage cells, chondrocytes. Bovine chondrocytes were imaged using a confocal microscope while compressed by a movable glass plate. Their recovery was monitored by tracking their projected area over time, converting it into a linear strain, and fitting it to a Burgers mechanical model. Strains ranging from 10% to 60% were applied to the cells, and model parameters, including the viscoelastic recovery time, were derived. We found that cells subjected to strains greater than 40% exhibited radially-symmetric deformations. This radially-symmetric deformation, possibly cell blebbing, was observed as a short-term effect, with the cell fully recovering its initial shape. Non-blebbing and blebbing chondrocytes exhibited viscoelastic recovery times of 42 s and 38 s, respectively. While the recovery time did not depend on the magnitude of applied strain, the measured permanent strain increased with higher applied strain magnitude. Overall, this study demonstrates the use of a new, low-cost 3D-printed microfluidic device in combination with advanced microscopy for characterizing the viscoelastic properties of cells.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.046
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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