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Record W2090696224 · doi:10.1002/cyto.a.20891

Wide‐angle light‐scattering differentiation of organelle‐size particle distributions in whole cells

2010· article· en· W2090696224 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCytometry Part A · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsOrganelleLight scatteringScatteringBiophysicsParticle sizeParticle (ecology)PhysicsOpticsBiologyCell biology

Abstract

fetched live from OpenAlex

A finite-difference time-domain (FDTD) method is used to study the multiple scattering from many organelle-size particles distributed in a biological cell. Conventional flow cytometry, where the small-angle forward scatter (FSC) intensity and side scatter (SSC) intensity are used for cell characterizations, may have difficulties to differentiate the organelle distributions in biological cells. Based on the FDTD simulations, a light-scattering methodology is proposed here to overcome such a problem. This method differentiates the dense and sparse distributions of organelle-size particles in a cell, by counting the peak numbers in both large-angle FSC and wide-angle SSC, with the multiple scattering effects being considered. Implemented with a wide-angle microfluidic cytometer, the approach demonstrated in this theoretical study may find potential applications in clinics for label-free cell physiological study.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.202
Teacher spread0.194 · 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