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Record W2000652723 · doi:10.1016/j.proeng.2010.09.141

Characterization of an on-chip reconfigurable 3D optofluidic microlens by confocal laser scanning microscopy

2010· article· en· W2000652723 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProcedia Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicElectrowetting and Microfluidic Technologies
Canadian institutionsnot available
FundersMicroResearch
KeywordsMicrolensMaterials scienceMicrochannelMicrofluidicsOptofluidicsLens (geology)Lab-on-a-chipOpticsOptoelectronicsMulti-mode optical fiberMicrofabricationNanotechnologyOptical fiberFabrication

Abstract

fetched live from OpenAlex

This research describes the design, fabrication and performance of an optofluidic 3D microlens reconfigurable by hydrodynamic flow rate adjustments. The microflow device is realized by standard single-layer micromachining of the photoresist SU-8 on a silicon substrate. On-chip waveguides and microgrooves designed for the insertion of multimode glass fibers are integrated to serve as optical interconnection for incident light coupling and detection. The laminar flow regime in the structured microchannel and the use of two transparent fluids with different refractive indices enable smooth optical interfaces useful for the creation of optofluidic elements. The inertial microfluidic effects occurring in the channels allow the generation of a multiconvex 3D microlens. By altering the input flow rates the lens shape with different lens radii in the lateral and normal direction is adjusted. To confirm the fluid dynamic simulations and to three-dimensionally characterize the microflow system we conducted confocal laser scanning and fluorescent sample measurements. The unique features of this optical chip offer a novel 3D light focusing system attractive for enhanced low-cost cell parameter screening without the use of bulky/expensive single photon counting units.

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 score0.008
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 integrity0.0000.001
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 head0.003
GPT teacher head0.190
Teacher spread0.187 · 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