MétaCan
Menu
Back to cohort
Record W2133517774 · doi:10.1109/iccme.2013.6548261

A mechanical perforation procedure for embryo biopsy

2013· article· en· W2133517774 on OpenAlexaff
Issam Bahadur, James K. Mills

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPerforationMaterials scienceBendingMicroinjectionBiomedical engineeringAcousticsComposite materialPhysicsEngineeringMedicine

Abstract

fetched live from OpenAlex

This paper presents an active mechanical perforation method developed for embryo biopsy in the preimplantation genetic diagnosis (PGD) procedure. This mechanical approach utilizes a tungsten micro-needle with a sub-micrometer tip to perform embryo perforation. The micro-needle is driven longitudinally with sinusoidal or square wave signals at frequencies close to the micro-needle bending resonances in order to excite its lateral vibration modes due to nonlinear modal coupling. It has been demonstrated that, in particular, the lateral cutting method, is effective and suitable for embryo perforation as well as microinjection and micro-dissection. A micro-needle driven with a square wave signal at frequency (~850Hz) close to the micro-needle first bending resonance frequency has been shown to generate an accurate cutting dimensions with minimum damage to the mouse embryo zona pellucida. A success rate of 88 % was achieved based on eight perforation tasks.

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 score0.215
Threshold uncertainty score0.213

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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicMicrofluidic and Bio-sensing TechnologiesFrench-language works237,207