MétaCan
Menu
Back to cohort
Record W2156529639 · doi:10.1109/iccme.2011.5876710

Fluidic vacuum-based biological cell holding device with piezoelectrically induced vibration

2011· article· en· W2156529639 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
KeywordsFluidicsActuatorVibrationAcousticsPiezoelectricityMaterials scienceProcess (computing)Mechanical engineeringComputer scienceEngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

A fluidic biological cell holder device incorporating a piezoelectric actuator has been designed and simulated numerically. Unlike classical cell holding devices, this paper provides a new approach to transfer and immobilize biological cells. The proposed design is based on the unique configuration of fluidic channels to increase cells velocity to overcome friction force while maintaining a low suction flow rate and pressure. In order to enhance cell mobility to the designated locations, a piezoelectric actuator attached at the base of the cell holding device is utilized to provide a detachment force to overcome adhesion force and hydrodynamic forces. The actuator generates a controlled vibration to the cell holding device. Based on problem formulation, the results reveal that the detachment force is determined by both vibration frequency and amplitude. Furthermore, to increase process throughput, the functions of this device can be easily automated using vision control. The validity of this design is demonstrated via numerical simulations using FLOW-3D.

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 score0.121
Threshold uncertainty score0.498

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 head0.046
GPT teacher head0.188
Teacher spread0.143 · 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
Published2011
Admission routes1
Has abstractyes

Explore more

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