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Record W2078830756 · doi:10.7210/jrsj.26.575

A New Framework for Microrobotic Control of Motile Cells based on High-Speed 3-D Tracking and Galvanotaxis Control

2008· article· en· W2078830756 on OpenAlex
Takeshi Hasegawa, Naoko Ogawa, Hiromasa Oku, Masatoshi Ishikawa

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

VenueJournal of the Robotics Society of Japan · 2008
Typearticle
Languageen
FieldEngineering
TopicImage Processing Techniques and Applications
Canadian institutionsnot available
FundersCanadian Institute for Advanced Research
KeywordsTracking (education)Control theory (sociology)Computer scienceControl engineeringPhysicsBiological systemArtificial intelligenceControl (management)EngineeringBiology

Abstract

fetched live from OpenAlex

We propose a new framework for visual control of motile cells in three-dimensional (3-D) space. Our goal is to utilize microorganisms as micro-robots in various applications. This requires two elements; noncontact and noninvasive actuation, and precise measurement in 3-D space. In our framework, galvanotaxis (locomotor response to electrical stimulus) is used to actuate and 3-D tracking of swimming cells is used to measure. Experimental results for closed-loop motion control of Paramecium cells in the 3-D space demonstrate the effectiveness of proposed framework and the possibility of using microorganisms as micromachines.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score0.409

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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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