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Record W1978329229 · doi:10.1039/b509422d

Extraction of pure cellular fluorescence by cell scanning in a single-cell microchip

2005· article· en· W1978329229 on OpenAlexafffund
Xing Peng, Paul C. H. Li

Bibliographic record

VenueLab on a Chip · 2005
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsSimon Fraser University
FundersChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCMC Microsystems
KeywordsFluorescencePhotobleachingSingle-cell analysisCellSIGNAL (programming language)ReagentMicrofluidicsBiological systemLiving cellNanotechnologyChemistryComputer scienceMaterials scienceBiologyOpticsBiochemistry

Abstract

fetched live from OpenAlex

A 3-dimensional liquid flow control method has been developed to manipulate and retain a single yeast cell freely in a microchip. This method allows us to carry out single-cell experiments by selecting any desired single cell from a group, retaining the cell for cellular signal detection, and delivering reagents to the cell during continual detection and observation without any negative impact from the liquid flow on the live cell. The cell was scanned back and forth across an observation window in order to extract pure cellular fluorescent signals. Different scanning methods were discussed for effective collection of the cellular fluorescent signal. The cell scanning technique results in many advantages, such as distinguishing a small part of a cell, allowing for background correction and monitoring the switch of reagents. In addition, it is possible to evaluate the photobleaching effects on both the background and cellular fluorescence, with the latter found to be less significant in a restricted cellular environment.

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 score0.024
Threshold uncertainty score0.655

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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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

Citations13
Published2005
Admission routes2
Has abstractyes

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