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Record W4221103665 · doi:10.1117/12.2607134

Optofluidic device for light-sheet fluorescence microscopy of C. elegans with a conventional wide-field microscope

2022· article· en· W4221103665 on OpenAlexaff
Mehran Behrouzi, Faraz Rahimpouresfahani, Khaled Youssef, Pouya Rezai, Nima Tabatabaei

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Fluorescence Microscopy Techniques
Canadian institutionsYork University
Fundersnot available
KeywordsPolydimethylsiloxaneLight sheet fluorescence microscopyMicrofluidicsOptical microscopeMaterials scienceMicroscopeFluorescence microscopeMicroscopyLens (geology)FluorescenceOpticsNanotechnologyScanning electron microscopeComposite material

Abstract

fetched live from OpenAlex

This work reports on the development of a low-cost and compact optofluidic add-on device for converting a conventional wide-field microscope to a light sheet fluorescence microscope for immobilization-free imaging of the C. elegans model organism. The developed Polydimethylsiloxane (PDMS)-based optofluidic device consists of an integrated PDMS cylindrical lens for light-sheet generation and a microfluidics channel for flow-based translation of samples through the light sheet. Validation experiments on several strains of C. elegans demonstrate the ability of the device in volumetric imaging of the fluorescence expressions of entire worms in a few seconds, at the single-neuron resolution, and with high contrast.

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: none
Teacher disagreement score0.083
Threshold uncertainty score0.895

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 head0.007
GPT teacher head0.278
Teacher spread0.271 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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