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Record W4402666294 · doi:10.1016/j.heliyon.2024.e38214

An open-source combined atomic force microscope and optical microscope for mechanobiology studies

2024· article· en· W4402666294 on OpenAlexafffund
Daniel Delgado, Sarah J. DesRoches, Gia Kang, Yousef Aldabii, Andrew R. Harris

Bibliographic record

VenueHeliyon · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaBanting Research Foundation
KeywordsMechanobiologyMicroscopeAtomic force microscopyNanotechnologyOptical microscopeMicroscopyMaterials scienceOpticsPhysicsBiologyAnatomyScanning electron microscope

Abstract

fetched live from OpenAlex

Atomic Force Microscopy (AFM) has become the gold standard tool for measuring mechanical properties of biological samples including proteins, single cells and tissues. However, investment in this specialized equipment and gaining expertise in its operation are significant obstacles for non-experts looking to adopt this technique. To address this, we have designed an AFM based mechanical measurement system for measuring cell mechanical properties which is combined with a custom inverted fluorescence microscope which can be used for characterizing mechanosensitive responses. This system, through its ease of use and low setup cost, will promote interdisciplinary research leading to new insights into the role of cell mechanics and mechanosensitive responses in physiology and disease.

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 score0.224
Threshold uncertainty score0.609

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 head0.019
GPT teacher head0.328
Teacher spread0.310 · 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

Citations5
Published2024
Admission routes2
Has abstractyes

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