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Record W3168971749 · doi:10.1109/jmems.2021.3072617

A Side-Viewing Endoscopic Probe With Distal Micro Rotary Scanner for Multimodal Luminal Imaging and Analysis

2021· article· en· W3168971749 on OpenAlexafffund
Sayed Mohammad Hashem Jayhooni, Geoffrey Hohert, Babak Assadsangabi, Pierre Lane, Haishan Zeng, Kenichi Takahata

Bibliographic record

VenueJournal of Microelectromechanical Systems · 2021
Typearticle
Languageen
FieldEngineering
TopicOptical Coherence Tomography Applications
Canadian institutionsUniversity of British Columbia
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanada Foundation for Innovation
KeywordsScannerOptical coherence tomographyBiomedical engineeringComputer scienceMaterials scienceOpticsArtificial intelligencePhysicsEngineering

Abstract

fetched live from OpenAlex

This paper reports a novel micro electromagnetic actuator serving as the distal rotary scanner of an endoscopic probe developed for side-viewing luminal tissue screening and analysis enabled through different endoscopic modalities. The micro rotary optical scanner, for the first time, offers stepwise, low-speed, and high-speed rotational motions to be compatible with endoscopic optical coherence tomography (OCT) and Raman spectroscopy. In comparison with preceding designs, this rotary scanner is shown to provide up to 125× higher revolution speeds per power via a ~50% narrower body while limiting its operation temperature within a biologically safe level for in-vivo scanning purposes. A preliminary experiment on human skin tissues is performed using the prototyped side-viewing OCT endoscopic probe equipped with the developed distal scanner. The results demonstrate the probe's ability for real-time 360° imaging of live tissue with both high speed and high resolution. These results pave the path for further testing on human internal lumens.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Microelectromechanical SystemsSame topicOptical Coherence Tomography ApplicationsFrench-language works237,207