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Record W1906623925 · doi:10.1002/cmmi.456

Labeling of multiple cell lines using a new iron oxide agent for cell tracking by MRI

2011· article· en· W1906623925 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueContrast Media & Molecular Imaging · 2011
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsWestern University
FundersBayer HealthCareOntario Institute for Cancer ResearchCanadian Cancer Society Research InstituteCancer Research Society
KeywordsViability assayFlow cytometryChemistryCellIron oxide nanoparticlesIn vivoFluorescence microscopeRhodamine 123FluorescenceStainingBiophysicsIron oxideRhodamineCell cultureCell biologyMolecular biologyBiochemistryBiologyPathologyMedicine

Abstract

fetched live from OpenAlex

Stem cells, cancer cells and immune cells were labeled by co-incubation with a new ultra-small iron oxide nanoparticle called Molday ION Rhodamine-B (MIRB). Iron staining, fluorescence imaging, transmission electron microscopy and flow cytometry were used to assess cell viability, function and labeling efficiency. This study has shown that MIRB can be used to label both adherent and nonadherent cell lines, with high viability and loading levels sufficient for their detection in vivo by MRI at 3 T.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.343
Threshold uncertainty score1.000

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 head0.018
GPT teacher head0.206
Teacher spread0.188 · 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