MétaCan
Menu
Back to cohort
Record W4214724820 · doi:10.1016/j.xpro.2022.101193

High-resolution intravital imaging of the murine hypothalamus using GRIN lenses and confocal microscopy

2022· article· en· W4214724820 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

VenueSTAR Protocols · 2022
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsMcGill University Health CentreMcGill University
FundersCanadian Institutes of Health ResearchCanada Foundation for Innovation
KeywordsConfocalConfocal microscopyIntravital microscopyResolution (logic)MicroscopyHigh resolutionOpticsRefractive indexBiomedical engineeringMaterials scienceComputer scienceBiologyPhysicsMedicineArtificial intelligenceIn vivoGeologyRemote sensing

Abstract

fetched live from OpenAlex

Intravital studies of cellular morphology in structures such as the hypothalamus are challenging because of their location at the bottom of the brain. Here, we describe an intravital imaging protocol based on gradient refractive index (GRIN) lenses in conjunction with confocal microscopy to inspect fluorescent cells at high resolution in deep-brain areas. The approach relies on implanted guide-tubes for the interchangeable use of GRIN lenses, thereby allowing imaging at different magnifications and increasing the effective field of view. For complete details on the use and execution of this profile, please refer to Butiaeva et al. (2021).

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 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 score0.013
Threshold uncertainty score0.339

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 science0.0000.001
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 head0.052
GPT teacher head0.343
Teacher spread0.291 · 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