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Record W2331458596 · doi:10.1021/ac201318z

Detection of Weak Absorption Changes from Molecular Events in Time-Resolved FT-IR Spectromicroscopy Measurements of Single Functional Cells

2011· article· en· W2331458596 on OpenAlexafffund
Luca Quaroni, Theodora Zlateva, Elise Normand

Bibliographic record

VenueAnalytical Chemistry · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpectroscopy Techniques in Biomedical and Chemical Research
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsChemistrySynchrotronAbsorption (acoustics)ChromophoreAbsorption spectroscopySpectroscopyPhotostimulationResolution (logic)Analytical Chemistry (journal)OpticsPhotochemistryChromatography

Abstract

fetched live from OpenAlex

The possibility of performing FT-IR spectromicroscopy experiments on individual living cells is the focus of considerable attention. Among the applications of interest, the obtainment of structural information in rapid measurements, with a time resolution of the minute or better, is a prized goal. In this work, we show that the use of synchrotron FT-IR spectromicroscopy allows one to extract weak spectral changes, of less than 10(-3) au per minute, in the absorption spectrum of single rod cells following photostimulation. We also show that absorption changes are accompanied by other optical effects due to changes in the real part of the refractive index of the cell. The use of two-dimensional correlation spectroscopy allows us to assign bands to specific molecular chromophores and to extract weak spectral variations in the presence of a noisy background.

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 score0.005
Threshold uncertainty score0.619

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)0.0010.000

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 head0.029
GPT teacher head0.273
Teacher spread0.245 · 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

Citations37
Published2011
Admission routes2
Has abstractyes

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