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Record W2903958793 · doi:10.1109/lsc.2018.8572252

Miniaturized Wireless Cell Spectrophotometer Platform in Visible and Near-IR Range

2018· article· en· W2903958793 on OpenAlexaff
Vahid Khojasteh Lazarjan, Mehdi Noormohammadi Khiarak, Anahita Bakhshizadeh Gashti, Alain Garnier, Benoit Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMolecular Communication and Nanonetworks
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsWirelessComputer scienceVoltageRange (aeronautics)Power (physics)Base stationElectrical engineeringMaterials scienceComputer hardwareEmbedded systemEngineeringTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

In this paper, a new miniaturized wireless cell spectrophotometer is presented. This system can scan a sample, detect incoming light power and transmit corresponding data to a base station for further analysis in the range of 340 nm to 850 nm. In vitro measurement results with VERO E6 cells tagged with DAPI and Alexa Fluor488 are presented to demonstrate its performance. The proposed system uses two small Lithium-ion batteries that provide a 7.4 V supply voltage. The system's low power consumption (88 mW), its minimal use of hardware resources, and its total weight of 17 g incorporated into a small wireless platform make the proposed device suitable for real-time implementation in most common low-power cell spectrophotometer applications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score0.337

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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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
Published2018
Admission routes1
Has abstractyes

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